Plots List
Plots
This endpoint handles manipulation of Plotly plot files.
Reference
Authorization
Any user with or without a Plotly account may view public plots. For private plots, see authentication.
Actions
list
Listing all public plots can be done via a GET request to this endpoint.
By default, plots will be listed in order of date created. The order_by
query parameter is accepted at this endpoint. Currently, only ordering by
views is supported. It is possible to filter the plots by quality
with min_quality or max_quality as query parameter.
Example:
// GET https://api.plotly.com/v2/plots/ ---> 200
// GET https://api.plotly.com/v2/plots/?order_by=-views ---> 200
// GET https://api.plotly.com/v2/plots/?min_quality=5 ---> 200
// GET https://api.plotly.com/v2/plots/?max_quality=5 ---> 200
feed
Listing all handpicked feed plots can be done via a GET request to this endpoint. By default, plots will be listed in a random order.
Example:
// GET https://api.plotly.com/v2/plots/feed ---> 200
create
You can create new plot resources here. The only required field is 'figure'. Currently, the figure is restricted to only contain references to grid data. That is, this will fail if raw data arrays are passed in. To create and manipulate underlying grids for plots, see the grids endpoint.
Example:
// This fails because a figure field is required.
// POST https://api.plotly.com/v2/plots ---> 400 Bad Request
{}
// This fails because the figure has raw data
//POST https://api.plotly.com/v2/plots ---> 400 Bad Request
{
"figure": {"data": [{"y": ['this', 'is', 'raw', 'data']}]}
}
// This succeeds because the figure has src keys, not raw data.
//POST https://api.plotly.com/v2/plots ---> 200 OK
{
"figure": {"data": [{"ysrc": "sven:88:u8nd62"}]}
}
When creating a grid, you can optionally specify a source_fid to specify where a plot has come from:
- source_fid: the fid of a plot that was copied (and presumably edited) to produce this one
detail
There is a lot of meta information stored about plot files including filename, title, share_url, and content_url to name a few.
This information can only be reached with a GET to this endpoint.
Example:
// GET https://api.plotly.com/v2/plots/iheartgraphs:90
content
The contents of a plot can be downloaded via the content resource. The plot
content contains referenced grid/column data by default. If you wish to
return the raw grid/column data, the inline_data=true query must be included
in the request url. The Content-Type header will be appropriately set for the
response body.
Alternatively, you can set ?map_data=unreadable to append a mapping of
sources to data that belongs to grids which are unreadable for the
requestor. This is useful when you have read access to another users plot,
but that plot contains grid references which you don't have access to.
Examples:
// Returns referenced grid/column data
// GET https://api.plotly.com/v2/plots/iheartgraphs:90/content ---> 200 OK
// Returns full grid/column data
// GET https://api.plotly.com/v2/plots/iheartgraphs:90/content?inline_data=true ---> 200 OK
// Returns full grid/column data when requestor doesn't have permission
// to read the referenced grid.
// GET https://api.plotly.com/v2/plots/iheartgraphs:90/content?map_data=unreadable ---> 200 OK
GET /v2/plots?cursor=cD0yMDI1LTA4LTIwKzE4JTNBMDUlM0E0Mi41ODY3MjglMkIwMCUzQTAw&format=api
{ "next": "https://api.plotly.com/v2/plots?cursor=cD0yMDI1LTA4LTIwKzE1JTNBMjYlM0EwMC44Mzg5NTYlMkIwMCUzQTAw&format=api", "previous": "https://api.plotly.com/v2/plots?cursor=cj0xJnA9MjAyNS0wOC0yMCsxNyUzQTQ5JTNBMzkuMDIyNjE3JTJCMDAlM0EwMA%3D%3D&format=api", "results": [ { "creation_time": "2025-08-20T17:49:39.022617Z", "comments": { "results": [], "count": 0 }, "parented": true, "embed_url": "https://chart-studio.plotly.com/~settgast/9.embed", "fid": "settgast:9", "filename": "Plot 9", "filetype": "plot", "img_url": "https://storage.googleapis.com/plotly-prod-images/settgast/9/9_OBUV1CZ8I0A59H6NGC0AOG6RC5RRZ8.png", "image_urls": { "default": "https://storage.googleapis.com/plotly-prod-images/settgast/9/2_FIN6L3OFISJNN1D8DGE7CV1V549XDP.png", "block-thumb": "https://storage.googleapis.com/plotly-prod-images/settgast/9/8_JMV0VPE5N6LDWFJ3Z6KJTWLBOALOG1.png", "list-thumb": "https://storage.googleapis.com/plotly-prod-images/settgast/9/9_OBUV1CZ8I0A59H6NGC0AOG6RC5RRZ8.png" }, "api_urls": { "files": "https://api.plotly.com/v2/files/settgast:9", "plots": "https://api.plotly.com/v2/plots/settgast:9", "parent": "https://api.plotly.com/v2/folders/home?user=settgast" }, "owner": "settgast", "parent": -1, "preview": "", "referencers": [], "references": [], "title": "", "views": 0, "web_url": "https://chart-studio.plotly.com/~settgast/9/", "world_readable": true, "date_modified": "2025-08-20T17:49:39.034Z", "stars": { "results": [], "count": 0 }, "collaborators": { "results": [], "count": 0 }, "subfolder_count": null, "refresh_interval": null, "organize_view_url": "https://chart-studio.plotly.com/~settgast/9/", "current_user_permission": "read", "is_theme": null, "is_template": false, "autosize": true, "caption": "", "figure": { "data": [ { "line": { "width": 6 }, "meta": { "columnNames": { "x": "last_changed", "y": "current_temperature" } }, "mode": "lines", "name": "Wandthermostat", "type": "scatter", "xsrc": "settgast:5:2f03ed", "ysrc": "settgast:5:25af74" }, { "meta": { "columnNames": { "x": "last_changed", "y": "state" } }, "mode": "lines", "name": "Küche", "type": "scatter", "xsrc": "settgast:6:709fb7", "ysrc": "settgast:6:3ecdc0", "stackgroup": null }, { "meta": { "columnNames": { "x": "last_changed", "y": "state" } }, "mode": "lines", "name": "Esstisch", "type": "scatter", "xsrc": "settgast:7:7c0e06", "ysrc": "settgast:7:c20933", "stackgroup": null }, { "meta": { "columnNames": { "x": "last_changed", "y": "state" } }, "mode": "lines", "name": "Sofa", "type": "scatter", "xsrc": "settgast:8:9ca4c8", "ysrc": "settgast:8:87e1b9", "stackgroup": null } ], "frames": [], "layout": { "xaxis": { "type": "date", "range": [ "2025-08-19 17:37:59.738", "2025-08-20 17:37:35.755" ], "autorange": true }, "yaxis": { "type": "linear", "range": [ 21.394444444444446, 25.505555555555556 ], "autorange": true }, "autosize": true, "template": { "data": { "bar": [ { "type": "bar", "marker": { "colorbar": { "ticks": "", "outlinewidth": 0 } } } ], "table": [ { "type": "table", "cells": { "fill": { "color": "#EBF0F8" }, "line": { "color": "white" } }, "header": { "fill": { "color": "#C8D4E3" }, "line": { "color": "white" } } } ], "carpet": [ { "type": "carpet", "aaxis": { "gridcolor": "#C8D4E3", "linecolor": "#C8D4E3", "endlinecolor": "#2a3f5f", "minorgridcolor": "#C8D4E3", "startlinecolor": "#2a3f5f" }, "baxis": { "gridcolor": "#C8D4E3", "linecolor": "#C8D4E3", "endlinecolor": "#2a3f5f", "minorgridcolor": "#C8D4E3", "startlinecolor": "#2a3f5f" } } ], "mesh3d": [ { "type": "mesh3d", "colorbar": { "ticks": "", "outlinewidth": 0 } } ], "contour": [ { "type": "contour", "colorbar": { "ticks": "", "outlinewidth": 0 }, "autocolorscale": true } ], "heatmap": [ { "type": "heatmap", "colorbar": { "ticks": "", "outlinewidth": 0 }, "autocolorscale": true } ], "scatter": [ { "type": "scatter", "marker": { "colorbar": { "ticks": "", "outlinewidth": 0 } } } ], "surface": [ { "type": "surface", "colorbar": { "ticks": "", "outlinewidth": 0 } } ], "heatmapgl": [ { "type": "heatmapgl", "colorbar": { "ticks": "", "outlinewidth": 0 } } ], "histogram": [ { "type": "histogram", "marker": { "colorbar": { "ticks": "", "outlinewidth": 0 } } } ], "parcoords": [ { "line": { "colorbar": { "ticks": "", "outlinewidth": 0 } }, "type": "parcoords" } ], "scatter3d": [ { "type": "scatter3d", "marker": { "colorbar": { "ticks": "", "outlinewidth": 0 } } } ], "scattergl": [ { "type": "scattergl", "marker": { "colorbar": { "ticks": "", "outlinewidth": 0 } } } ], "choropleth": [ { "type": "choropleth", "colorbar": { "ticks": "", "outlinewidth": 0 } } ], "scattergeo": [ { "type": "scattergeo", "marker": { "colorbar": { "ticks": "", "outlinewidth": 0 } } } ], "histogram2d": [ { "type": "histogram2d", "colorbar": { "ticks": "", "outlinewidth": 0 }, "autocolorscale": true } ], "scatterpolar": [ { "type": "scatterpolar", "marker": { "colorbar": { "ticks": "", "outlinewidth": 0 } } } ], "contourcarpet": [ { "type": "contourcarpet", "colorbar": { "ticks": "", "outlinewidth": 0 } } ], "scattercarpet": [ { "type": "scattercarpet", "marker": { "colorbar": { "ticks": "", "outlinewidth": 0 } } } ], "scattermapbox": [ { "type": "scattermapbox", "marker": { "colorbar": { "ticks": "", "outlinewidth": 0 } } } ], "scatterpolargl": [ { "type": "scatterpolargl", "marker": { "colorbar": { "ticks": "", "outlinewidth": 0 } } } ], "scatterternary": [ { "type": "scatterternary", "marker": { "colorbar": { "ticks": "", "outlinewidth": 0 } } } ], "histogram2dcontour": [ { "type": "histogram2dcontour", "colorbar": { "ticks": "", "outlinewidth": 0 }, "autocolorscale": true } ] }, "layout": { "geo": { "bgcolor": "white", "showland": true, "lakecolor": "white", "landcolor": "white", "showlakes": true, "subunitcolor": "#C8D4E3" }, "font": { "color": "#2a3f5f" }, "polar": { "bgcolor": "white", "radialaxis": { "ticks": "", "gridcolor": "#EBF0F8", "linecolor": "#EBF0F8" }, "angularaxis": { "ticks": "", "gridcolor": "#EBF0F8", "linecolor": "#EBF0F8" } }, "scene": { "xaxis": { "ticks": "", "gridcolor": "#DFE8F3", "gridwidth": 2, "linecolor": "#EBF0F8", "zerolinecolor": "#EBF0F8", "showbackground": true, "backgroundcolor": "white" }, "yaxis": { "ticks": "", "gridcolor": "#DFE8F3", "gridwidth": 2, "linecolor": "#EBF0F8", "zerolinecolor": "#EBF0F8", "showbackground": true, "backgroundcolor": "white" }, "zaxis": { "ticks": "", "gridcolor": "#DFE8F3", "gridwidth": 2, "linecolor": "#EBF0F8", "zerolinecolor": "#EBF0F8", "showbackground": true, "backgroundcolor": "white" } }, "title": { "x": 0.05 }, "xaxis": { "ticks": "", "gridcolor": "#EBF0F8", "linecolor": "#EBF0F8", "automargin": true, "zerolinecolor": "#EBF0F8", "zerolinewidth": 2 }, "yaxis": { "ticks": "", "gridcolor": "#EBF0F8", "linecolor": "#EBF0F8", "automargin": true, "zerolinecolor": "#EBF0F8", "zerolinewidth": 2 }, "ternary": { "aaxis": { "ticks": "", "gridcolor": "#DFE8F3", "linecolor": "#A2B1C6" }, "baxis": { "ticks": "", "gridcolor": "#DFE8F3", "linecolor": "#A2B1C6" }, "caxis": { "ticks": "", "gridcolor": "#DFE8F3", "linecolor": "#A2B1C6" }, "bgcolor": "white" }, "colorway": [ "#636efa", "#EF553B", "#00cc96", "#ab63fa", "#19d3f3", "#e763fa", "#fecb52", "#ffa15a", "#ff6692", "#b6e880" ], "hovermode": "closest", "colorscale": { "diverging": [ [ 0, "#8e0152" ], [ 0.1, "#c51b7d" ], [ 0.2, "#de77ae" ], [ 0.3, "#f1b6da" ], [ 0.4, "#fde0ef" ], [ 0.5, "#f7f7f7" ], [ 0.6, "#e6f5d0" ], [ 0.7, "#b8e186" ], [ 0.8, "#7fbc41" ], [ 0.9, "#4d9221" ], [ 1, "#276419" ] ], "sequential": [ [ 0, "#0508b8" ], [ 0.0893854748603352, "#1910d8" ], [ 0.1787709497206704, "#3c19f0" ], [ 0.2681564245810056, "#6b1cfb" ], [ 0.3575418994413408, "#981cfd" ], [ 0.44692737430167595, "#bf1cfd" ], [ 0.5363128491620112, "#dd2bfd" ], [ 0.6256983240223464, "#f246fe" ], [ 0.7150837988826816, "#fc67fd" ], [ 0.8044692737430168, "#fe88fc" ], [ 0.8938547486033519, "#fea5fd" ], [ 0.9832402234636871, "#febefe" ], [ 1, "#fec3fe" ] ], "sequentialminus": [ [ 0, "#0508b8" ], [ 0.0893854748603352, "#1910d8" ], [ 0.1787709497206704, "#3c19f0" ], [ 0.2681564245810056, "#6b1cfb" ], [ 0.3575418994413408, "#981cfd" ], [ 0.44692737430167595, "#bf1cfd" ], [ 0.5363128491620112, "#dd2bfd" ], [ 0.6256983240223464, "#f246fe" ], [ 0.7150837988826816, "#fc67fd" ], [ 0.8044692737430168, "#fe88fc" ], [ 0.8938547486033519, "#fea5fd" ], [ 0.9832402234636871, "#febefe" ], [ 1, "#fec3fe" ] ] }, "plot_bgcolor": "white", "paper_bgcolor": "white", "shapedefaults": { "line": { "width": 0 }, "opacity": 0.4, "fillcolor": "#506784" }, "annotationdefaults": { "arrowhead": 0, "arrowcolor": "#506784", "arrowwidth": 1 } }, "themeRef": "PLOTLY_WHITE" } } }, "height": null, "width": null, "user": { "profile_url": "https://chart-studio.plotly.com/~settgast", "avatar_url": "https://storage.googleapis.com/plotly-prod-profiles/11.jpg", "background_url": "https://storage.googleapis.com/plotly-prod-profiles/bg-5.jpg", "bio": "", "nickname": "", "website": "", "stream_tokens": null, "feature_set_id": null, "csrf_token": null, "date_joined": "2025-08-18 20:42:32", "mapbox_access_tokens": null, "has_password": null, "username": "settgast", "email": null, "is_active": null, "readonly": null, "is_dash_creator": null, "dash_created_count": null, "is_chart_creator": null, "charts_created_count": null } }, { "creation_time": "2025-08-20T17:02:42.009090Z", "comments": { "results": [], "count": 0 }, "parented": true, "embed_url": "https://chart-studio.plotly.com/~laschumacher/79.embed", "fid": "laschumacher:79", "filename": "VN area_W1S1K", "filetype": "plot", "img_url": "https://storage.googleapis.com/plotly-prod-images/laschumacher/79/9_67YQCZZAIMOAH4E5SKDVCRL3VPH41T.png", "image_urls": { "default": "https://storage.googleapis.com/plotly-prod-images/laschumacher/79/2_7Q1FB6Y2PRMC187OY58C2BDSXQI54C.png", "block-thumb": "https://storage.googleapis.com/plotly-prod-images/laschumacher/79/8_RLP3SY1R918WHFJAA7SVZ9NUQDP1XD.png", "list-thumb": "https://storage.googleapis.com/plotly-prod-images/laschumacher/79/9_67YQCZZAIMOAH4E5SKDVCRL3VPH41T.png" }, "api_urls": { "files": "https://api.plotly.com/v2/files/laschumacher:79", "plots": "https://api.plotly.com/v2/plots/laschumacher:79", "parent": "https://api.plotly.com/v2/folders/home?user=laschumacher" }, "owner": "laschumacher", "parent": -1, "preview": "", "referencers": [], "references": [], "title": "", "views": 0, "web_url": "https://chart-studio.plotly.com/~laschumacher/79/", "world_readable": true, "date_modified": "2025-08-20T17:15:27.847Z", "stars": { "results": [], "count": 0 }, "collaborators": { "results": [], "count": 0 }, "subfolder_count": null, "refresh_interval": null, "organize_view_url": "https://chart-studio.plotly.com/~laschumacher/79/", "current_user_permission": "read", "is_theme": null, "is_template": false, "autosize": true, "caption": "", "figure": { "data": [ { "meta": { "columnNames": { "y": "A" } }, "mode": "markers", "name": "WT", "type": "box", "ysrc": "laschumacher:78:5618fd", "jitter": 1, "pointpos": 0, "boxpoints": "all" }, { "meta": { "columnNames": { "y": "B" } }, "name": "<i>wip123</i>", "type": "box", "ysrc": "laschumacher:78:7c4c7e", "jitter": 1, "pointpos": 0, "boxpoints": "all" }, { "meta": { "columnNames": { "y": "C" } }, "name": "GFP-WIP1", "type": "box", "ysrc": "laschumacher:78:ab6f39", "jitter": 1, "pointpos": 0, "boxpoints": "all" }, { "meta": { "columnNames": { "y": "D" } }, "name": "W1S1K4", "type": "box", "ysrc": "laschumacher:78:fb3554", "jitter": 1, "pointpos": 0, "boxpoints": "all" }, { "meta": { "columnNames": { "y": "E" } }, "name": "W1S1K5", "type": "box", "ysrc": "laschumacher:78:a43782", "jitter": 1, "pointpos": 0, "boxpoints": "all" } ], "frames": [], "layout": { "title": { "text": "VN Area" }, "xaxis": { "type": "category", "range": [ -0.5, 4.5 ], "autorange": true }, "yaxis": { "type": "linear", "range": [ 11.670277777777779, 96.20472222222222 ], "title": { "text": "Area" }, "autorange": true }, "autosize": true, "template": { "data": { "bar": [ { "type": "bar", "marker": { "colorbar": { "ticks": "", "outlinewidth": 0 } } } ], "table": [ { "type": "table", "cells": { "fill": { "color": "#EBF0F8" }, "line": { "color": "white" } }, "header": { "fill": { "color": "#C8D4E3" }, "line": { "color": "white" } } } ], "carpet": [ { "type": "carpet", "aaxis": { "gridcolor": "#C8D4E3", "linecolor": "#C8D4E3", "endlinecolor": "#2a3f5f", "minorgridcolor": "#C8D4E3", "startlinecolor": "#2a3f5f" }, "baxis": { "gridcolor": "#C8D4E3", "linecolor": "#C8D4E3", "endlinecolor": "#2a3f5f", "minorgridcolor": "#C8D4E3", "startlinecolor": "#2a3f5f" } } ], "mesh3d": [ { "type": "mesh3d", "colorbar": { "ticks": "", "outlinewidth": 0 } } ], "contour": [ { "type": "contour", "colorbar": { "ticks": "", "outlinewidth": 0 }, "autocolorscale": true } ], "heatmap": [ { "type": "heatmap", "colorbar": { "ticks": "", "outlinewidth": 0 }, "autocolorscale": true } ], "scatter": [ { "type": "scatter", "marker": { "colorbar": { "ticks": "", "outlinewidth": 0 } } } ], "surface": [ { "type": "surface", "colorbar": { "ticks": "", "outlinewidth": 0 } } ], "heatmapgl": [ { "type": "heatmapgl", "colorbar": { "ticks": "", "outlinewidth": 0 } } ], "histogram": [ { "type": "histogram", "marker": { "colorbar": { "ticks": "", "outlinewidth": 0 } } } ], "parcoords": [ { "line": { "colorbar": { "ticks": "", "outlinewidth": 0 } }, "type": "parcoords" } ], "scatter3d": [ { "type": "scatter3d", "marker": { "colorbar": { "ticks": "", "outlinewidth": 0 } } } ], "scattergl": [ { "type": "scattergl", "marker": { "colorbar": { "ticks": "", "outlinewidth": 0 } } } ], "choropleth": [ { "type": "choropleth", "colorbar": { "ticks": "", "outlinewidth": 0 } } ], "scattergeo": [ { "type": "scattergeo", "marker": { "colorbar": { "ticks": "", "outlinewidth": 0 } } } ], "histogram2d": [ { "type": "histogram2d", "colorbar": { "ticks": "", "outlinewidth": 0 }, "autocolorscale": true } ], "scatterpolar": [ { "type": "scatterpolar", "marker": { "colorbar": { "ticks": "", "outlinewidth": 0 } } } ], "contourcarpet": [ { "type": "contourcarpet", "colorbar": { "ticks": "", "outlinewidth": 0 } } ], "scattercarpet": [ { "type": "scattercarpet", "marker": { "colorbar": { "ticks": "", "outlinewidth": 0 } } } ], "scattermapbox": [ { "type": "scattermapbox", "marker": { "colorbar": { "ticks": "", "outlinewidth": 0 } } } ], "scatterpolargl": [ { "type": "scatterpolargl", "marker": { "colorbar": { "ticks": "", "outlinewidth": 0 } } } ], "scatterternary": [ { "type": "scatterternary", "marker": { "colorbar": { "ticks": "", "outlinewidth": 0 } } } ], "histogram2dcontour": [ { "type": "histogram2dcontour", "colorbar": { "ticks": "", "outlinewidth": 0 }, "autocolorscale": true } ] }, "layout": { "geo": { "bgcolor": "white", "showland": true, "lakecolor": "white", "landcolor": "white", "showlakes": true, "subunitcolor": "#C8D4E3" }, "font": { "color": "#2a3f5f" }, "polar": { "bgcolor": "white", "radialaxis": { "ticks": "", "gridcolor": "#EBF0F8", "linecolor": "#EBF0F8" }, "angularaxis": { "ticks": "", "gridcolor": "#EBF0F8", "linecolor": "#EBF0F8" } }, "scene": { "xaxis": { "ticks": "", "gridcolor": "#DFE8F3", "gridwidth": 2, "linecolor": "#EBF0F8", "zerolinecolor": "#EBF0F8", "showbackground": true, "backgroundcolor": "white" }, "yaxis": { "ticks": "", "gridcolor": "#DFE8F3", "gridwidth": 2, "linecolor": "#EBF0F8", "zerolinecolor": "#EBF0F8", "showbackground": true, "backgroundcolor": "white" }, "zaxis": { "ticks": "", "gridcolor": "#DFE8F3", "gridwidth": 2, "linecolor": "#EBF0F8", "zerolinecolor": "#EBF0F8", "showbackground": true, "backgroundcolor": "white" } }, "title": { "x": 0.05 }, "xaxis": { "ticks": "", "gridcolor": "#EBF0F8", "linecolor": "#EBF0F8", "automargin": true, "zerolinecolor": "#EBF0F8", "zerolinewidth": 2 }, "yaxis": { "ticks": "", "gridcolor": "#EBF0F8", "linecolor": "#EBF0F8", "automargin": true, "zerolinecolor": "#EBF0F8", "zerolinewidth": 2 }, "ternary": { "aaxis": { "ticks": "", "gridcolor": "#DFE8F3", "linecolor": "#A2B1C6" }, "baxis": { "ticks": "", "gridcolor": "#DFE8F3", "linecolor": "#A2B1C6" }, "caxis": { "ticks": "", "gridcolor": "#DFE8F3", "linecolor": "#A2B1C6" }, "bgcolor": "white" }, "colorway": [ "#636efa", "#EF553B", "#00cc96", "#ab63fa", "#19d3f3", "#e763fa", "#fecb52", "#ffa15a", "#ff6692", "#b6e880" ], "hovermode": "closest", "colorscale": { "diverging": [ [ 0, "#8e0152" ], [ 0.1, "#c51b7d" ], [ 0.2, "#de77ae" ], [ 0.3, "#f1b6da" ], [ 0.4, "#fde0ef" ], [ 0.5, "#f7f7f7" ], [ 0.6, "#e6f5d0" ], [ 0.7, "#b8e186" ], [ 0.8, "#7fbc41" ], [ 0.9, "#4d9221" ], [ 1, "#276419" ] ], "sequential": [ [ 0, "#0508b8" ], [ 0.0893854748603352, "#1910d8" ], [ 0.1787709497206704, "#3c19f0" ], [ 0.2681564245810056, "#6b1cfb" ], [ 0.3575418994413408, "#981cfd" ], [ 0.44692737430167595, "#bf1cfd" ], [ 0.5363128491620112, "#dd2bfd" ], [ 0.6256983240223464, "#f246fe" ], [ 0.7150837988826816, "#fc67fd" ], [ 0.8044692737430168, "#fe88fc" ], [ 0.8938547486033519, "#fea5fd" ], [ 0.9832402234636871, "#febefe" ], [ 1, "#fec3fe" ] ], "sequentialminus": [ [ 0, "#0508b8" ], [ 0.0893854748603352, "#1910d8" ], [ 0.1787709497206704, "#3c19f0" ], [ 0.2681564245810056, "#6b1cfb" ], [ 0.3575418994413408, "#981cfd" ], [ 0.44692737430167595, "#bf1cfd" ], [ 0.5363128491620112, "#dd2bfd" ], [ 0.6256983240223464, "#f246fe" ], [ 0.7150837988826816, "#fc67fd" ], [ 0.8044692737430168, "#fe88fc" ], [ 0.8938547486033519, "#fea5fd" ], [ 0.9832402234636871, "#febefe" ], [ 1, "#fec3fe" ] ] }, "plot_bgcolor": "white", "paper_bgcolor": "white", "shapedefaults": { "line": { "width": 0 }, "opacity": 0.4, "fillcolor": "#506784" }, "annotationdefaults": { "arrowhead": 0, "arrowcolor": "#506784", "arrowwidth": 1 } }, "themeRef": "PLOTLY_WHITE" } } }, "height": null, "width": null, "user": { "profile_url": "https://chart-studio.plotly.com/~laschumacher", "avatar_url": "https://storage.googleapis.com/plotly-prod-profiles/68.jpg", "background_url": "https://storage.googleapis.com/plotly-prod-profiles/bg-13.jpg", "bio": "", "nickname": "", "website": "", "stream_tokens": null, "feature_set_id": null, "csrf_token": null, "date_joined": "2020-09-17 18:48:25", "mapbox_access_tokens": null, "has_password": null, "username": "laschumacher", "email": null, "is_active": null, "readonly": null, "is_dash_creator": null, "dash_created_count": null, "is_chart_creator": null, "charts_created_count": null } }, { "creation_time": "2025-08-20T16:51:59.611520Z", "comments": { "results": [], "count": 0 }, "parented": true, "embed_url": "https://chart-studio.plotly.com/~laschumacher/77.embed", "fid": "laschumacher:77", "filename": "VN Circularity_W1S1K", "filetype": "plot", "img_url": "https://storage.googleapis.com/plotly-prod-images/laschumacher/77/9_9B7IR6RH0FEF0BYT8ZMNH14W6CH9I8.png", "image_urls": { "default": "https://storage.googleapis.com/plotly-prod-images/laschumacher/77/2_7OOU8YRPOEI1C4HE2ES2C976R3XXRK.png", "block-thumb": "https://storage.googleapis.com/plotly-prod-images/laschumacher/77/8_7KVQC8A0TZYZT8FLWVKJMYAD69LPPV.png", "list-thumb": "https://storage.googleapis.com/plotly-prod-images/laschumacher/77/9_9B7IR6RH0FEF0BYT8ZMNH14W6CH9I8.png" }, "api_urls": { "files": "https://api.plotly.com/v2/files/laschumacher:77", "plots": "https://api.plotly.com/v2/plots/laschumacher:77", "parent": "https://api.plotly.com/v2/folders/home?user=laschumacher" }, "owner": "laschumacher", "parent": -1, "preview": "", "referencers": [], "references": [], "title": "", "views": 0, "web_url": "https://chart-studio.plotly.com/~laschumacher/77/", "world_readable": true, "date_modified": "2025-08-20T16:51:59.622Z", "stars": { "results": [], "count": 0 }, "collaborators": { "results": [], "count": 0 }, "subfolder_count": null, "refresh_interval": null, "organize_view_url": "https://chart-studio.plotly.com/~laschumacher/77/", "current_user_permission": "read", "is_theme": null, "is_template": false, "autosize": true, "caption": "", "figure": { "data": [ { "meta": { "columnNames": { "y": "A" } }, "mode": "markers", "name": "WT", "type": "box", "ysrc": "laschumacher:76:939c25", "jitter": 1, "pointpos": 0, "boxpoints": "all" }, { "meta": { "columnNames": { "y": "B" } }, "name": "<i>wip123</i>", "type": "box", "ysrc": "laschumacher:76:f83bcb", "jitter": 1, "pointpos": 0, "boxpoints": "all" }, { "meta": { "columnNames": { "y": "C" } }, "name": "GFP-WIP1", "type": "box", "ysrc": "laschumacher:76:a627fa", "jitter": 1, "pointpos": 0, "boxpoints": "all" }, { "meta": { "columnNames": { "y": "D" } }, "name": "W1S1K4", "type": "box", "ysrc": "laschumacher:76:d6231c", "jitter": 1, "pointpos": 0, "boxpoints": "all" }, { "meta": { "columnNames": { "y": "E" } }, "name": "W1S1K5", "type": "box", "ysrc": "laschumacher:76:be815f", "jitter": 1, "pointpos": 0, "boxpoints": "all" } ], "frames": [], "layout": { "title": { "text": "VN Circularity" }, "xaxis": { "type": "category", "range": [ -0.5, 4.5 ], "autorange": true }, "yaxis": { "type": "linear", "range": [ 0.18411111111111111, 0.9618888888888889 ], "title": { "text": "Circularity" }, "autorange": true }, "autosize": true, "template": { "data": { "bar": [ { "type": "bar", "marker": { "colorbar": { "ticks": "", "outlinewidth": 0 } } } ], "table": [ { "type": "table", "cells": { "fill": { "color": "#EBF0F8" }, "line": { "color": "white" } }, "header": { "fill": { "color": "#C8D4E3" }, "line": { "color": "white" } } } ], "carpet": [ { "type": "carpet", "aaxis": { "gridcolor": "#C8D4E3", "linecolor": "#C8D4E3", "endlinecolor": "#2a3f5f", "minorgridcolor": "#C8D4E3", "startlinecolor": "#2a3f5f" }, "baxis": { "gridcolor": "#C8D4E3", "linecolor": "#C8D4E3", "endlinecolor": "#2a3f5f", "minorgridcolor": "#C8D4E3", "startlinecolor": "#2a3f5f" } } ], "mesh3d": [ { "type": "mesh3d", "colorbar": { "ticks": "", "outlinewidth": 0 } } ], "contour": [ { "type": "contour", "colorbar": { "ticks": "", "outlinewidth": 0 }, "autocolorscale": true } ], "heatmap": [ { "type": "heatmap", "colorbar": { "ticks": "", "outlinewidth": 0 }, "autocolorscale": true } ], "scatter": [ { "type": "scatter", "marker": { "colorbar": { "ticks": "", "outlinewidth": 0 } } } ], "surface": [ { "type": "surface", "colorbar": { "ticks": "", "outlinewidth": 0 } } ], "heatmapgl": [ { "type": "heatmapgl", "colorbar": { "ticks": "", "outlinewidth": 0 } } ], "histogram": [ { "type": "histogram", "marker": { "colorbar": { "ticks": "", "outlinewidth": 0 } } } ], "parcoords": [ { "line": { "colorbar": { "ticks": "", "outlinewidth": 0 } }, "type": "parcoords" } ], "scatter3d": [ { "type": "scatter3d", "marker": { "colorbar": { "ticks": "", "outlinewidth": 0 } } } ], "scattergl": [ { "type": "scattergl", "marker": { "colorbar": { "ticks": "", "outlinewidth": 0 } } } ], "choropleth": [ { "type": "choropleth", "colorbar": { "ticks": "", "outlinewidth": 0 } } ], "scattergeo": [ { "type": "scattergeo", "marker": { "colorbar": { "ticks": "", "outlinewidth": 0 } } } ], "histogram2d": [ { "type": "histogram2d", "colorbar": { "ticks": "", "outlinewidth": 0 }, "autocolorscale": true } ], "scatterpolar": [ { "type": "scatterpolar", "marker": { "colorbar": { "ticks": "", "outlinewidth": 0 } } } ], "contourcarpet": [ { "type": "contourcarpet", "colorbar": { "ticks": "", "outlinewidth": 0 } } ], "scattercarpet": [ { "type": "scattercarpet", "marker": { "colorbar": { "ticks": "", "outlinewidth": 0 } } } ], "scattermapbox": [ { "type": "scattermapbox", "marker": { "colorbar": { "ticks": "", "outlinewidth": 0 } } } ], "scatterpolargl": [ { "type": "scatterpolargl", "marker": { "colorbar": { "ticks": "", "outlinewidth": 0 } } } ], "scatterternary": [ { "type": "scatterternary", "marker": { "colorbar": { "ticks": "", "outlinewidth": 0 } } } ], "histogram2dcontour": [ { "type": "histogram2dcontour", "colorbar": { "ticks": "", "outlinewidth": 0 }, "autocolorscale": true } ] }, "layout": { "geo": { "bgcolor": "white", "showland": true, "lakecolor": "white", "landcolor": "white", "showlakes": true, "subunitcolor": "#C8D4E3" }, "font": { "color": "#2a3f5f" }, "polar": { "bgcolor": "white", "radialaxis": { "ticks": "", "gridcolor": "#EBF0F8", "linecolor": "#EBF0F8" }, "angularaxis": { "ticks": "", "gridcolor": "#EBF0F8", "linecolor": "#EBF0F8" } }, "scene": { "xaxis": { "ticks": "", "gridcolor": "#DFE8F3", "gridwidth": 2, "linecolor": "#EBF0F8", "zerolinecolor": "#EBF0F8", "showbackground": true, "backgroundcolor": "white" }, "yaxis": { "ticks": "", "gridcolor": "#DFE8F3", "gridwidth": 2, "linecolor": "#EBF0F8", "zerolinecolor": "#EBF0F8", "showbackground": true, "backgroundcolor": "white" }, "zaxis": { "ticks": "", "gridcolor": "#DFE8F3", "gridwidth": 2, "linecolor": "#EBF0F8", "zerolinecolor": "#EBF0F8", "showbackground": true, "backgroundcolor": "white" } }, "title": { "x": 0.05 }, "xaxis": { "ticks": "", "gridcolor": "#EBF0F8", "linecolor": "#EBF0F8", "automargin": true, "zerolinecolor": "#EBF0F8", "zerolinewidth": 2 }, "yaxis": { "ticks": "", "gridcolor": "#EBF0F8", "linecolor": "#EBF0F8", "automargin": true, "zerolinecolor": "#EBF0F8", "zerolinewidth": 2 }, "ternary": { "aaxis": { "ticks": "", "gridcolor": "#DFE8F3", "linecolor": "#A2B1C6" }, "baxis": { "ticks": "", "gridcolor": "#DFE8F3", "linecolor": "#A2B1C6" }, "caxis": { "ticks": "", "gridcolor": "#DFE8F3", "linecolor": "#A2B1C6" }, "bgcolor": "white" }, "colorway": [ "#636efa", "#EF553B", "#00cc96", "#ab63fa", "#19d3f3", "#e763fa", "#fecb52", "#ffa15a", "#ff6692", "#b6e880" ], "hovermode": "closest", "colorscale": { "diverging": [ [ 0, "#8e0152" ], [ 0.1, "#c51b7d" ], [ 0.2, "#de77ae" ], [ 0.3, "#f1b6da" ], [ 0.4, "#fde0ef" ], [ 0.5, "#f7f7f7" ], [ 0.6, "#e6f5d0" ], [ 0.7, "#b8e186" ], [ 0.8, "#7fbc41" ], [ 0.9, "#4d9221" ], [ 1, "#276419" ] ], "sequential": [ [ 0, "#0508b8" ], [ 0.0893854748603352, "#1910d8" ], [ 0.1787709497206704, "#3c19f0" ], [ 0.2681564245810056, "#6b1cfb" ], [ 0.3575418994413408, "#981cfd" ], [ 0.44692737430167595, "#bf1cfd" ], [ 0.5363128491620112, "#dd2bfd" ], [ 0.6256983240223464, "#f246fe" ], [ 0.7150837988826816, "#fc67fd" ], [ 0.8044692737430168, "#fe88fc" ], [ 0.8938547486033519, "#fea5fd" ], [ 0.9832402234636871, "#febefe" ], [ 1, "#fec3fe" ] ], "sequentialminus": [ [ 0, "#0508b8" ], [ 0.0893854748603352, "#1910d8" ], [ 0.1787709497206704, "#3c19f0" ], [ 0.2681564245810056, "#6b1cfb" ], [ 0.3575418994413408, "#981cfd" ], [ 0.44692737430167595, "#bf1cfd" ], [ 0.5363128491620112, "#dd2bfd" ], [ 0.6256983240223464, "#f246fe" ], [ 0.7150837988826816, "#fc67fd" ], [ 0.8044692737430168, "#fe88fc" ], [ 0.8938547486033519, "#fea5fd" ], [ 0.9832402234636871, "#febefe" ], [ 1, "#fec3fe" ] ] }, "plot_bgcolor": "white", "paper_bgcolor": "white", "shapedefaults": { "line": { "width": 0 }, "opacity": 0.4, "fillcolor": "#506784" }, "annotationdefaults": { "arrowhead": 0, "arrowcolor": "#506784", "arrowwidth": 1 } }, "themeRef": "PLOTLY_WHITE" } } }, "height": null, "width": null, "user": { "profile_url": "https://chart-studio.plotly.com/~laschumacher", "avatar_url": "https://storage.googleapis.com/plotly-prod-profiles/68.jpg", "background_url": "https://storage.googleapis.com/plotly-prod-profiles/bg-13.jpg", "bio": "", "nickname": "", "website": "", "stream_tokens": null, "feature_set_id": null, "csrf_token": null, "date_joined": "2020-09-17 18:48:25", "mapbox_access_tokens": null, "has_password": null, "username": "laschumacher", "email": null, "is_active": null, "readonly": null, "is_dash_creator": null, "dash_created_count": null, "is_chart_creator": null, "charts_created_count": null } }, { "creation_time": "2025-08-20T15:51:29.271885Z", "comments": { "results": [], "count": 0 }, "parented": true, "embed_url": "https://chart-studio.plotly.com/~ColeKruseJCPH/1.embed", "fid": "ColeKruseJCPH:1", "filename": "Plotly Test", "filetype": "plot", "img_url": "https://storage.googleapis.com/plotly-prod-images/ColeKruseJCPH/1/9_TT7BL0EMSHYN1MXVS12H5HN2V473AW.png", "image_urls": { "default": "https://storage.googleapis.com/plotly-prod-images/ColeKruseJCPH/1/2_NRUQG0QL1XNAVM5XWE054PU4GKSJN7.png", "block-thumb": "https://storage.googleapis.com/plotly-prod-images/ColeKruseJCPH/1/8_WOAYCR46GR3VKSEFQTMQF8OPHJW9AJ.png", "list-thumb": "https://storage.googleapis.com/plotly-prod-images/ColeKruseJCPH/1/9_TT7BL0EMSHYN1MXVS12H5HN2V473AW.png" }, "api_urls": { "files": "https://api.plotly.com/v2/files/ColeKruseJCPH:1", "plots": "https://api.plotly.com/v2/plots/ColeKruseJCPH:1", "parent": "https://api.plotly.com/v2/folders/home?user=ColeKruseJCPH" }, "owner": "ColeKruseJCPH", "parent": -1, "preview": "", "referencers": [], "references": [], "title": "", "views": 1, "web_url": "https://chart-studio.plotly.com/~ColeKruseJCPH/1/", "world_readable": true, "date_modified": "2025-08-20T15:53:04.522Z", "stars": { "results": [], "count": 0 }, "collaborators": { "results": [], "count": 0 }, "subfolder_count": null, "refresh_interval": null, "organize_view_url": "https://chart-studio.plotly.com/~ColeKruseJCPH/1/", "current_user_permission": "read", "is_theme": null, "is_template": false, "autosize": true, "caption": "", "figure": { "data": [ { "meta": { "columnNames": { "x": "Agency Name", "y": "", "text": "Agency Name", "marker": { "color": "" } } }, "mode": "markers", "type": "histogram", "xsrc": "ColeKruseJCPH:0:c70525", "marker": { "meta": { "columnNames": { "color": "Race of Offender" } } }, "opacity": 1, "textsrc": "ColeKruseJCPH:0:c70525", "histnorm": "", "hoverinfo": "y+text", "cumulative": { "enabled": false, "direction": "decreasing", "currentbin": "half" }, "transforms": [ { "meta": { "columnNames": { "target": "Zip Code" } }, "type": "sort", "order": "ascending", "targetsrc": "ColeKruseJCPH:0:d6509c" } ], "orientation": "v", "hovertemplate": "" } ], "frames": [], "layout": { "title": { "text": "Opioid Incidents by Law Enforcement Agency" }, "xaxis": { "side": "bottom", "type": "category", "range": [ -0.48460354118552734, 4.5 ], "ticks": "", "title": { "text": "<br>" }, "anchor": "y", "domain": [ 0, 1 ], "autorange": false, "showspikes": false, "rangeslider": { "range": [ -0.5, 4.5 ], "yaxis": {}, "visible": false, "autorange": true }, "showticklabels": true }, "yaxis": { "side": "left", "range": [ 0, 82.75039138257841 ], "ticks": "", "title": { "text": "Incidents" }, "anchor": "x", "domain": [ 0, 1 ], "nticks": 0, "tickfont": { "family": "Arial" }, "tickmode": "auto", "autorange": false, "automargin": false, "showspikes": false, "tickformat": "", "exponentformat": "none", "separatethousands": true }, "images": [ { "x": 0.95, "y": 1, "xref": "paper", "yref": "paper", "layer": "above", "sizex": 0.24, "sizey": 0.2, "source": "data:image/png;base64,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", "visible": true, "xanchor": "left", "yanchor": "top" } ], "shapes": [], "barmode": "group", "barnorm": "", "autosize": true, "dragmode": "zoom", "template": { "data": { "bar": [ { "type": "bar", "marker": { "colorbar": { "ticks": "", "outlinewidth": 0 } } } ], "table": [ { "type": "table", "cells": { "fill": { "color": "#EBF0F8" }, "line": { "color": "white" } }, "header": { "fill": { "color": "#C8D4E3" }, "line": { "color": "white" } } } ], "carpet": [ { "type": "carpet", "aaxis": { "gridcolor": "#C8D4E3", "linecolor": "#C8D4E3", "endlinecolor": "#2a3f5f", "minorgridcolor": "#C8D4E3", "startlinecolor": "#2a3f5f" }, "baxis": { "gridcolor": "#C8D4E3", "linecolor": "#C8D4E3", "endlinecolor": "#2a3f5f", "minorgridcolor": "#C8D4E3", "startlinecolor": "#2a3f5f" } } ], "mesh3d": [ { "type": "mesh3d", "colorbar": { "ticks": "", "outlinewidth": 0 } } ], "contour": [ { "type": "contour", "colorbar": { "ticks": "", "outlinewidth": 0 }, "autocolorscale": true } ], "heatmap": [ { "type": "heatmap", "colorbar": { "ticks": "", "outlinewidth": 0 }, "autocolorscale": true } ], "scatter": [ { "type": "scatter", "marker": { "colorbar": { "ticks": "", "outlinewidth": 0 } } } ], "surface": [ { "type": "surface", "colorbar": { "ticks": "", "outlinewidth": 0 } } ], "heatmapgl": [ { "type": "heatmapgl", "colorbar": { "ticks": "", "outlinewidth": 0 } } ], "histogram": [ { "type": "histogram", "marker": { "colorbar": { "ticks": "", "outlinewidth": 0 } } } ], "parcoords": [ { "line": { "colorbar": { "ticks": "", "outlinewidth": 0 } }, "type": "parcoords" } ], "scatter3d": [ { "type": "scatter3d", "marker": { "colorbar": { "ticks": "", "outlinewidth": 0 } } } ], "scattergl": [ { "type": "scattergl", "marker": { "colorbar": { "ticks": "", "outlinewidth": 0 } } } ], "choropleth": [ { "type": "choropleth", "colorbar": { "ticks": "", "outlinewidth": 0 } } ], "scattergeo": [ { "type": "scattergeo", "marker": { "colorbar": { "ticks": "", "outlinewidth": 0 } } } ], "histogram2d": [ { "type": "histogram2d", "colorbar": { "ticks": "", "outlinewidth": 0 }, "autocolorscale": true } ], "scatterpolar": [ { "type": "scatterpolar", "marker": { "colorbar": { "ticks": "", "outlinewidth": 0 } } } ], "contourcarpet": [ { "type": "contourcarpet", "colorbar": { "ticks": "", "outlinewidth": 0 } } ], "scattercarpet": [ { "type": "scattercarpet", "marker": { "colorbar": { "ticks": "", "outlinewidth": 0 } } } ], "scattermapbox": [ { "type": "scattermapbox", "marker": { "colorbar": { "ticks": "", "outlinewidth": 0 } } } ], "scatterpolargl": [ { "type": "scatterpolargl", "marker": { "colorbar": { "ticks": "", "outlinewidth": 0 } } } ], "scatterternary": [ { "type": "scatterternary", "marker": { "colorbar": { "ticks": "", "outlinewidth": 0 } } } ], "histogram2dcontour": [ { "type": "histogram2dcontour", "colorbar": { "ticks": "", "outlinewidth": 0 }, "autocolorscale": true } ] }, "layout": { "geo": { "bgcolor": "white", "showland": true, "lakecolor": "white", "landcolor": "white", "showlakes": true, "subunitcolor": "#C8D4E3" }, "font": { "color": "#2a3f5f" }, "polar": { "bgcolor": "white", "radialaxis": { "ticks": "", "gridcolor": "#EBF0F8", "linecolor": "#EBF0F8" }, "angularaxis": { "ticks": "", "gridcolor": "#EBF0F8", "linecolor": "#EBF0F8" } }, "scene": { "xaxis": { "ticks": "", "gridcolor": "#DFE8F3", "gridwidth": 2, "linecolor": "#EBF0F8", "zerolinecolor": "#EBF0F8", "showbackground": true, "backgroundcolor": "white" }, "yaxis": { "ticks": "", "gridcolor": "#DFE8F3", "gridwidth": 2, "linecolor": "#EBF0F8", "zerolinecolor": "#EBF0F8", "showbackground": true, "backgroundcolor": "white" }, "zaxis": { "ticks": "", "gridcolor": "#DFE8F3", "gridwidth": 2, "linecolor": "#EBF0F8", "zerolinecolor": "#EBF0F8", "showbackground": true, "backgroundcolor": "white" } }, "title": { "x": 0.05 }, "xaxis": { "ticks": "", "gridcolor": "#EBF0F8", "linecolor": "#EBF0F8", "automargin": true, "zerolinecolor": "#EBF0F8", "zerolinewidth": 2 }, "yaxis": { "ticks": "", "gridcolor": "#EBF0F8", "linecolor": "#EBF0F8", "automargin": true, "zerolinecolor": "#EBF0F8", "zerolinewidth": 2 }, "ternary": { "aaxis": { "ticks": "", "gridcolor": "#DFE8F3", "linecolor": "#A2B1C6" }, "baxis": { "ticks": "", "gridcolor": "#DFE8F3", "linecolor": "#A2B1C6" }, "caxis": { "ticks": "", "gridcolor": "#DFE8F3", "linecolor": "#A2B1C6" }, "bgcolor": "white" }, "colorway": [ "#636efa", "#EF553B", "#00cc96", "#ab63fa", "#19d3f3", "#e763fa", "#fecb52", "#ffa15a", "#ff6692", "#b6e880" ], "hovermode": "closest", "colorscale": { "diverging": [ [ 0, "#8e0152" ], [ 0.1, "#c51b7d" ], [ 0.2, "#de77ae" ], [ 0.3, "#f1b6da" ], [ 0.4, "#fde0ef" ], [ 0.5, "#f7f7f7" ], [ 0.6, "#e6f5d0" ], [ 0.7, "#b8e186" ], [ 0.8, "#7fbc41" ], [ 0.9, "#4d9221" ], [ 1, "#276419" ] ], "sequential": [ [ 0, "#0508b8" ], [ 0.0893854748603352, "#1910d8" ], [ 0.1787709497206704, "#3c19f0" ], [ 0.2681564245810056, "#6b1cfb" ], [ 0.3575418994413408, "#981cfd" ], [ 0.44692737430167595, "#bf1cfd" ], [ 0.5363128491620112, "#dd2bfd" ], [ 0.6256983240223464, "#f246fe" ], [ 0.7150837988826816, "#fc67fd" ], [ 0.8044692737430168, "#fe88fc" ], [ 0.8938547486033519, "#fea5fd" ], [ 0.9832402234636871, "#febefe" ], [ 1, "#fec3fe" ] ], "sequentialminus": [ [ 0, "#0508b8" ], [ 0.0893854748603352, "#1910d8" ], [ 0.1787709497206704, "#3c19f0" ], [ 0.2681564245810056, "#6b1cfb" ], [ 0.3575418994413408, "#981cfd" ], [ 0.44692737430167595, "#bf1cfd" ], [ 0.5363128491620112, "#dd2bfd" ], [ 0.6256983240223464, "#f246fe" ], [ 0.7150837988826816, "#fc67fd" ], [ 0.8044692737430168, "#fe88fc" ], [ 0.8938547486033519, "#fea5fd" ], [ 0.9832402234636871, "#febefe" ], [ 1, "#fec3fe" ] ] }, "plot_bgcolor": "white", "paper_bgcolor": "white", "shapedefaults": { "line": { "width": 0 }, "opacity": 0.4, "fillcolor": "#506784" }, "annotationdefaults": { "arrowhead": 0, "arrowcolor": "#506784", "arrowwidth": 1 } }, "themeRef": "PLOTLY_WHITE" }, "clickmode": "event", "hovermode": "closest", "hoverlabel": { "align": "auto" }, "showlegend": false, "annotations": [] } }, "height": null, "width": null, "user": { "profile_url": "https://chart-studio.plotly.com/~ColeKruseJCPH", "avatar_url": "https://storage.googleapis.com/plotly-prod-profiles/77.jpg", "background_url": "https://storage.googleapis.com/plotly-prod-profiles/bg-14.jpg", "bio": "", "nickname": "", "website": "", "stream_tokens": null, "feature_set_id": null, "csrf_token": null, "date_joined": "2025-08-20 15:25:32", "mapbox_access_tokens": null, "has_password": null, "username": "ColeKruseJCPH", "email": null, "is_active": null, "readonly": null, "is_dash_creator": null, "dash_created_count": null, "is_chart_creator": null, "charts_created_count": null } }, { "creation_time": "2025-08-20T15:26:36.659791Z", "comments": { "results": [], "count": 0 }, "parented": true, "embed_url": "https://chart-studio.plotly.com/~jmoxley/18851.embed", "fid": "jmoxley:18851", "filename": "20250819_linkage_history_miax", "filetype": "plot", "img_url": "https://storage.googleapis.com/plotly-prod-images/jmoxley/18851/9_T9E1RX4URTEQGYOMZ9GBAZNG5VCD4X.png", "image_urls": { "default": "https://storage.googleapis.com/plotly-prod-images/jmoxley/18851/2_UISP78BQC88ZWMCS8LOR7AHPACO3L2.png", "block-thumb": "https://storage.googleapis.com/plotly-prod-images/jmoxley/18851/8_8F0CMGF63HH9DBCK10D3ZBJH6NK59N.png", "list-thumb": "https://storage.googleapis.com/plotly-prod-images/jmoxley/18851/9_T9E1RX4URTEQGYOMZ9GBAZNG5VCD4X.png" }, "api_urls": { "files": "https://api.plotly.com/v2/files/jmoxley:18851", "plots": "https://api.plotly.com/v2/plots/jmoxley:18851", "parent": "https://api.plotly.com/v2/folders/home?user=jmoxley" }, "owner": "jmoxley", "parent": -1, "preview": "", "referencers": [], "references": [], "title": "", "views": 0, "web_url": "https://chart-studio.plotly.com/~jmoxley/18851/", "world_readable": true, "date_modified": "2025-08-20T15:26:36.705Z", "stars": { "results": [], "count": 0 }, "collaborators": { "results": [], "count": 0 }, "subfolder_count": null, "refresh_interval": null, "organize_view_url": "https://chart-studio.plotly.com/~jmoxley/18851/", "current_user_permission": "read", "is_theme": null, "is_template": null, "autosize": true, "caption": "", "figure": { "data": [ { "mode": "lines", "name": "Mean", "type": "scatter", "xsrc": "jmoxley:18850:c4269e", "ysrc": "jmoxley:18850:0535d1" }, { "mode": "lines", "name": "Median", "type": "scatter", "xsrc": "jmoxley:18850:191d7c", "ysrc": "jmoxley:18850:375a47" }, { "mode": "lines", "name": "Min", "type": "scatter", "xsrc": "jmoxley:18850:3e6b84", "ysrc": "jmoxley:18850:5c7fc0" }, { "mode": "lines", "name": "StDev", "type": "scatter", "xsrc": "jmoxley:18850:c127b2", "ysrc": "jmoxley:18850:3336fe" }, { "mode": "lines", "name": "Orders Scaled", "type": "scatter", "xsrc": "jmoxley:18850:b0843e", "ysrc": "jmoxley:18850:a99421" } ], "layout": { "template": { "data": { "bar": [ { "type": "bar", "marker": { "line": { "color": "#E5ECF6", "width": 0.5 } }, "error_x": { "color": "#2a3f5f" }, "error_y": { "color": "#2a3f5f" } } ], "pie": [ { "type": "pie", "automargin": true } ], "table": [ { "type": "table", "cells": { "fill": { "color": "#EBF0F8" }, "line": { "color": "white" } }, "header": { "fill": { "color": "#C8D4E3" }, "line": { "color": "white" } } } ], "carpet": [ { "type": "carpet", "aaxis": { "gridcolor": "white", "linecolor": "white", "endlinecolor": "#2a3f5f", "minorgridcolor": "white", "startlinecolor": "#2a3f5f" }, "baxis": { "gridcolor": "white", "linecolor": "white", "endlinecolor": "#2a3f5f", "minorgridcolor": "white", "startlinecolor": "#2a3f5f" } } ], "mesh3d": [ { "type": "mesh3d", "colorbar": { "ticks": "", "outlinewidth": 0 } } ], "contour": [ { "type": "contour", "colorbar": { "ticks": "", "outlinewidth": 0 }, "colorscale": [ [ 0.0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1.0, "#f0f921" ] ] } ], "heatmap": [ { "type": "heatmap", "colorbar": { "ticks": "", "outlinewidth": 0 }, "colorscale": [ [ 0.0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1.0, "#f0f921" ] ] } ], "scatter": [ { "type": "scatter", "marker": { "colorbar": { "ticks": "", "outlinewidth": 0 } } } ], "surface": [ { "type": "surface", "colorbar": { "ticks": "", "outlinewidth": 0 }, "colorscale": [ [ 0.0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1.0, "#f0f921" ] ] } ], "barpolar": [ { "type": "barpolar", "marker": { "line": { "color": "#E5ECF6", "width": 0.5 } } } ], "heatmapgl": [ { "type": "heatmapgl", "colorbar": { "ticks": "", "outlinewidth": 0 }, "colorscale": [ [ 0.0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1.0, "#f0f921" ] ] } ], "histogram": [ { "type": "histogram", "marker": { "colorbar": { "ticks": "", "outlinewidth": 0 } } } ], "parcoords": [ { "line": { "colorbar": { "ticks": "", "outlinewidth": 0 } }, "type": "parcoords" } ], "scatter3d": [ { "line": { "colorbar": { "ticks": "", "outlinewidth": 0 } }, "type": "scatter3d", "marker": { "colorbar": { "ticks": "", "outlinewidth": 0 } } } ], "scattergl": [ { "type": "scattergl", "marker": { "colorbar": { "ticks": "", "outlinewidth": 0 } } } ], "choropleth": [ { "type": "choropleth", "colorbar": { "ticks": "", "outlinewidth": 0 } } ], "scattergeo": [ { "type": "scattergeo", "marker": { "colorbar": { "ticks": "", "outlinewidth": 0 } } } ], "histogram2d": [ { "type": "histogram2d", "colorbar": { "ticks": "", "outlinewidth": 0 }, "colorscale": [ [ 0.0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1.0, "#f0f921" ] ] } ], "scatterpolar": [ { "type": "scatterpolar", "marker": { "colorbar": { "ticks": "", "outlinewidth": 0 } } } ], "contourcarpet": [ { "type": "contourcarpet", "colorbar": { "ticks": "", "outlinewidth": 0 } } ], "scattercarpet": [ { "type": "scattercarpet", "marker": { "colorbar": { "ticks": "", "outlinewidth": 0 } } } ], "scattermapbox": [ { "type": "scattermapbox", "marker": { "colorbar": { "ticks": "", "outlinewidth": 0 } } } ], "scatterpolargl": [ { "type": "scatterpolargl", "marker": { "colorbar": { "ticks": "", "outlinewidth": 0 } } } ], "scatterternary": [ { "type": "scatterternary", "marker": { "colorbar": { "ticks": "", "outlinewidth": 0 } } } ], "histogram2dcontour": [ { "type": "histogram2dcontour", "colorbar": { "ticks": "", "outlinewidth": 0 }, "colorscale": [ [ 0.0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1.0, "#f0f921" ] ] } ] }, "layout": { "geo": { "bgcolor": "white", "showland": true, "lakecolor": "white", "landcolor": "#E5ECF6", "showlakes": true, "subunitcolor": "white" }, "font": { "color": "#2a3f5f" }, "polar": { "bgcolor": "#E5ECF6", "radialaxis": { "ticks": "", "gridcolor": "white", "linecolor": "white" }, "angularaxis": { "ticks": "", "gridcolor": "white", "linecolor": "white" } }, "scene": { "xaxis": { "ticks": "", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "zerolinecolor": "white", "showbackground": true, "backgroundcolor": "#E5ECF6" }, "yaxis": { "ticks": "", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "zerolinecolor": "white", "showbackground": true, "backgroundcolor": "#E5ECF6" }, "zaxis": { "ticks": "", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "zerolinecolor": "white", "showbackground": true, "backgroundcolor": "#E5ECF6" } }, "title": { "x": 0.05 }, "xaxis": { "ticks": "", "title": { "standoff": 15 }, "gridcolor": "white", "linecolor": "white", "automargin": true, "zerolinecolor": "white", "zerolinewidth": 2 }, "yaxis": { "ticks": "", "title": { "standoff": 15 }, "gridcolor": "white", "linecolor": "white", "automargin": true, "zerolinecolor": "white", "zerolinewidth": 2 }, "mapbox": { "style": "light" }, "ternary": { "aaxis": { "ticks": "", "gridcolor": "white", "linecolor": "white" }, "baxis": { "ticks": "", "gridcolor": "white", "linecolor": "white" }, "caxis": { "ticks": "", "gridcolor": "white", "linecolor": "white" }, "bgcolor": "#E5ECF6" }, "colorway": [ "#636efa", "#EF553B", "#00cc96", "#ab63fa", "#FFA15A", "#19d3f3", "#FF6692", "#B6E880", "#FF97FF", "#FECB52" ], "coloraxis": { "colorbar": { "ticks": "", "outlinewidth": 0 } }, "hovermode": "closest", "colorscale": { "diverging": [ [ 0, "#8e0152" ], [ 0.1, "#c51b7d" ], [ 0.2, "#de77ae" ], [ 0.3, "#f1b6da" ], [ 0.4, "#fde0ef" ], [ 0.5, "#f7f7f7" ], [ 0.6, "#e6f5d0" ], [ 0.7, "#b8e186" ], [ 0.8, "#7fbc41" ], [ 0.9, "#4d9221" ], [ 1, "#276419" ] ], "sequential": [ [ 0.0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1.0, "#f0f921" ] ], "sequentialminus": [ [ 0.0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1.0, "#f0f921" ] ] }, "hoverlabel": { "align": "left" }, "plot_bgcolor": "#E5ECF6", "paper_bgcolor": "white", "shapedefaults": { "line": { "color": "#2a3f5f" } }, "autotypenumbers": "strict", "annotationdefaults": { "arrowhead": 0, "arrowcolor": "#2a3f5f", "arrowwidth": 1 } } } } }, "height": null, "width": null, "user": { "profile_url": "https://chart-studio.plotly.com/~jmoxley", "avatar_url": "https://storage.googleapis.com/plotly-prod-profiles/46.jpg", "background_url": "https://storage.googleapis.com/plotly-prod-profiles/bg-5.jpg", "bio": "", "nickname": "", "website": "", "stream_tokens": null, "feature_set_id": null, "csrf_token": null, "date_joined": "2019-07-02 18:27:30", "mapbox_access_tokens": null, "has_password": null, "username": "jmoxley", "email": null, "is_active": null, "readonly": null, "is_dash_creator": null, "dash_created_count": null, "is_chart_creator": null, "charts_created_count": null } }, { "creation_time": "2025-08-20T15:26:33.386542Z", "comments": { "results": [], "count": 0 }, "parented": true, "embed_url": "https://chart-studio.plotly.com/~jmoxley/18849.embed", "fid": "jmoxley:18849", "filename": "20250819_linkage_history", "filetype": "plot", "img_url": "https://storage.googleapis.com/plotly-prod-images/jmoxley/18849/9_KEX09T7KLSE488AG0E6X0H0XNAUDE2.png", "image_urls": { "default": "https://storage.googleapis.com/plotly-prod-images/jmoxley/18849/2_2RJJ9BCMBXNSMK1YXXD7QY93U7O9ZS.png", "block-thumb": "https://storage.googleapis.com/plotly-prod-images/jmoxley/18849/8_TKTS053ZV7HG47FF5063BWSTHVY95O.png", "list-thumb": "https://storage.googleapis.com/plotly-prod-images/jmoxley/18849/9_KEX09T7KLSE488AG0E6X0H0XNAUDE2.png" }, "api_urls": { "files": "https://api.plotly.com/v2/files/jmoxley:18849", "plots": "https://api.plotly.com/v2/plots/jmoxley:18849", "parent": "https://api.plotly.com/v2/folders/home?user=jmoxley" }, "owner": "jmoxley", "parent": -1, "preview": "", "referencers": [], "references": [], "title": "", "views": 0, "web_url": "https://chart-studio.plotly.com/~jmoxley/18849/", "world_readable": true, "date_modified": "2025-08-20T15:26:33.432Z", "stars": { "results": [], "count": 0 }, "collaborators": { "results": [], "count": 0 }, "subfolder_count": null, "refresh_interval": null, "organize_view_url": "https://chart-studio.plotly.com/~jmoxley/18849/", "current_user_permission": "read", "is_theme": null, "is_template": null, "autosize": true, "caption": "", "figure": { "data": [ { "mode": "lines", "name": "Mean", "type": "scatter", "xsrc": "jmoxley:18848:643594", "ysrc": "jmoxley:18848:2de2fa" }, { "mode": "lines", "name": "Median", "type": "scatter", "xsrc": "jmoxley:18848:ced268", "ysrc": "jmoxley:18848:f6352a" }, { "mode": "lines", "name": "Min", "type": "scatter", "xsrc": "jmoxley:18848:335a06", "ysrc": "jmoxley:18848:18e0ea" }, { "mode": "lines", "name": "StDev", "type": "scatter", "xsrc": "jmoxley:18848:da4af8", "ysrc": "jmoxley:18848:ce8e59" }, { "mode": "lines", "name": "Orders Scaled", "type": "scatter", "xsrc": "jmoxley:18848:1bc485", "ysrc": "jmoxley:18848:f7d988" } ], "layout": { "template": { "data": { "bar": [ { "type": "bar", "marker": { "line": { "color": "#E5ECF6", "width": 0.5 } }, "error_x": { "color": "#2a3f5f" }, "error_y": { "color": "#2a3f5f" } } ], "pie": [ { "type": "pie", "automargin": true } ], "table": [ { "type": "table", "cells": { "fill": { "color": "#EBF0F8" }, "line": { "color": "white" } }, "header": { "fill": { "color": "#C8D4E3" }, "line": { "color": "white" } } } ], "carpet": [ { "type": "carpet", "aaxis": { "gridcolor": "white", "linecolor": "white", "endlinecolor": "#2a3f5f", "minorgridcolor": "white", "startlinecolor": "#2a3f5f" }, "baxis": { "gridcolor": "white", "linecolor": "white", "endlinecolor": "#2a3f5f", "minorgridcolor": "white", "startlinecolor": "#2a3f5f" } } ], "mesh3d": [ { "type": "mesh3d", "colorbar": { "ticks": "", "outlinewidth": 0 } } ], "contour": [ { "type": "contour", "colorbar": { "ticks": "", "outlinewidth": 0 }, "colorscale": [ [ 0.0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1.0, "#f0f921" ] ] } ], "heatmap": [ { "type": "heatmap", "colorbar": { "ticks": "", "outlinewidth": 0 }, "colorscale": [ [ 0.0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1.0, "#f0f921" ] ] } ], "scatter": [ { "type": "scatter", "marker": { "colorbar": { "ticks": "", "outlinewidth": 0 } } } ], "surface": [ { "type": "surface", "colorbar": { "ticks": "", "outlinewidth": 0 }, "colorscale": [ [ 0.0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1.0, "#f0f921" ] ] } ], "barpolar": [ { "type": "barpolar", "marker": { "line": { "color": "#E5ECF6", "width": 0.5 } } } ], "heatmapgl": [ { "type": "heatmapgl", "colorbar": { "ticks": "", "outlinewidth": 0 }, "colorscale": [ [ 0.0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1.0, "#f0f921" ] ] } ], "histogram": [ { "type": "histogram", "marker": { "colorbar": { "ticks": "", "outlinewidth": 0 } } } ], "parcoords": [ { "line": { "colorbar": { "ticks": "", "outlinewidth": 0 } }, "type": "parcoords" } ], "scatter3d": [ { "line": { "colorbar": { "ticks": "", "outlinewidth": 0 } }, "type": "scatter3d", "marker": { "colorbar": { "ticks": "", "outlinewidth": 0 } } } ], "scattergl": [ { "type": "scattergl", "marker": { "colorbar": { "ticks": "", "outlinewidth": 0 } } } ], "choropleth": [ { "type": "choropleth", "colorbar": { "ticks": "", "outlinewidth": 0 } } ], "scattergeo": [ { "type": "scattergeo", "marker": { "colorbar": { "ticks": "", "outlinewidth": 0 } } } ], "histogram2d": [ { "type": "histogram2d", "colorbar": { "ticks": "", "outlinewidth": 0 }, "colorscale": [ [ 0.0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1.0, "#f0f921" ] ] } ], "scatterpolar": [ { "type": "scatterpolar", "marker": { "colorbar": { "ticks": "", "outlinewidth": 0 } } } ], "contourcarpet": [ { "type": "contourcarpet", "colorbar": { "ticks": "", "outlinewidth": 0 } } ], "scattercarpet": [ { "type": "scattercarpet", "marker": { "colorbar": { "ticks": "", "outlinewidth": 0 } } } ], "scattermapbox": [ { "type": "scattermapbox", "marker": { "colorbar": { "ticks": "", "outlinewidth": 0 } } } ], "scatterpolargl": [ { "type": "scatterpolargl", "marker": { "colorbar": { "ticks": "", "outlinewidth": 0 } } } ], "scatterternary": [ { "type": "scatterternary", "marker": { "colorbar": { "ticks": "", "outlinewidth": 0 } } } ], "histogram2dcontour": [ { "type": "histogram2dcontour", "colorbar": { "ticks": "", "outlinewidth": 0 }, "colorscale": [ [ 0.0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1.0, "#f0f921" ] ] } ] }, "layout": { "geo": { "bgcolor": "white", "showland": true, "lakecolor": "white", "landcolor": "#E5ECF6", "showlakes": true, "subunitcolor": "white" }, "font": { "color": "#2a3f5f" }, "polar": { "bgcolor": "#E5ECF6", "radialaxis": { "ticks": "", "gridcolor": "white", "linecolor": "white" }, "angularaxis": { "ticks": "", "gridcolor": "white", "linecolor": "white" } }, "scene": { "xaxis": { "ticks": "", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "zerolinecolor": "white", "showbackground": true, "backgroundcolor": "#E5ECF6" }, "yaxis": { "ticks": "", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "zerolinecolor": "white", "showbackground": true, "backgroundcolor": "#E5ECF6" }, "zaxis": { "ticks": "", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "zerolinecolor": "white", "showbackground": true, "backgroundcolor": "#E5ECF6" } }, "title": { "x": 0.05 }, "xaxis": { "ticks": "", "title": { "standoff": 15 }, "gridcolor": "white", "linecolor": "white", "automargin": true, "zerolinecolor": "white", "zerolinewidth": 2 }, "yaxis": { "ticks": "", "title": { "standoff": 15 }, "gridcolor": "white", "linecolor": "white", "automargin": true, "zerolinecolor": "white", "zerolinewidth": 2 }, "mapbox": { "style": "light" }, "ternary": { "aaxis": { "ticks": "", "gridcolor": "white", "linecolor": "white" }, "baxis": { "ticks": "", "gridcolor": "white", "linecolor": "white" }, "caxis": { "ticks": "", "gridcolor": "white", "linecolor": "white" }, "bgcolor": "#E5ECF6" }, "colorway": [ "#636efa", "#EF553B", "#00cc96", "#ab63fa", "#FFA15A", "#19d3f3", "#FF6692", "#B6E880", "#FF97FF", "#FECB52" ], "coloraxis": { "colorbar": { "ticks": "", "outlinewidth": 0 } }, "hovermode": "closest", "colorscale": { "diverging": [ [ 0, "#8e0152" ], [ 0.1, "#c51b7d" ], [ 0.2, "#de77ae" ], [ 0.3, "#f1b6da" ], [ 0.4, "#fde0ef" ], [ 0.5, "#f7f7f7" ], [ 0.6, "#e6f5d0" ], [ 0.7, "#b8e186" ], [ 0.8, "#7fbc41" ], [ 0.9, "#4d9221" ], [ 1, "#276419" ] ], "sequential": [ [ 0.0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1.0, "#f0f921" ] ], "sequentialminus": [ [ 0.0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1.0, "#f0f921" ] ] }, "hoverlabel": { "align": "left" }, "plot_bgcolor": "#E5ECF6", "paper_bgcolor": "white", "shapedefaults": { "line": { "color": "#2a3f5f" } }, "autotypenumbers": "strict", "annotationdefaults": { "arrowhead": 0, "arrowcolor": "#2a3f5f", "arrowwidth": 1 } } } } }, "height": null, "width": null, "user": { "profile_url": "https://chart-studio.plotly.com/~jmoxley", "avatar_url": "https://storage.googleapis.com/plotly-prod-profiles/46.jpg", "background_url": "https://storage.googleapis.com/plotly-prod-profiles/bg-5.jpg", "bio": "", "nickname": "", "website": "", "stream_tokens": null, "feature_set_id": null, "csrf_token": null, "date_joined": "2019-07-02 18:27:30", "mapbox_access_tokens": null, "has_password": null, "username": "jmoxley", "email": null, "is_active": null, "readonly": null, "is_dash_creator": null, "dash_created_count": null, "is_chart_creator": null, "charts_created_count": null } }, { "creation_time": "2025-08-20T15:26:30.153967Z", "comments": { "results": [], "count": 0 }, "parented": true, "embed_url": "https://chart-studio.plotly.com/~jmoxley/18847.embed", "fid": "jmoxley:18847", "filename": "20250819_linkage_miax", "filetype": "plot", "img_url": "https://storage.googleapis.com/plotly-prod-images/jmoxley/18847/9_URG9I47GV26V7QZ8P6HDBZEKALPSQ2.png", "image_urls": { "default": "https://storage.googleapis.com/plotly-prod-images/jmoxley/18847/2_KKEEKQ6BQAKG0KTB6ZVVSEEA951SRG.png", "block-thumb": "https://storage.googleapis.com/plotly-prod-images/jmoxley/18847/8_WC2J0KXH37OGXITCH2HLG22C9IVLSQ.png", "list-thumb": "https://storage.googleapis.com/plotly-prod-images/jmoxley/18847/9_URG9I47GV26V7QZ8P6HDBZEKALPSQ2.png" }, "api_urls": { "files": "https://api.plotly.com/v2/files/jmoxley:18847", "plots": "https://api.plotly.com/v2/plots/jmoxley:18847", "parent": "https://api.plotly.com/v2/folders/home?user=jmoxley" }, "owner": "jmoxley", "parent": -1, "preview": "", "referencers": [], "references": [], "title": "", "views": 0, "web_url": "https://chart-studio.plotly.com/~jmoxley/18847/", "world_readable": true, "date_modified": "2025-08-20T15:26:30.197Z", "stars": { "results": [], "count": 0 }, "collaborators": { "results": [], "count": 0 }, "subfolder_count": null, "refresh_interval": null, "organize_view_url": "https://chart-studio.plotly.com/~jmoxley/18847/", "current_user_permission": "read", "is_theme": null, "is_template": null, "autosize": true, "caption": "", "figure": { "data": [ { "mode": "markers", "name": "FIX In", "type": "scatter", "xsrc": "jmoxley:18846:2bd570", "ysrc": "jmoxley:18846:d42646", "textsrc": "jmoxley:18846:1c7302" }, { "mode": "markers", "name": "FIX Out", "type": "scatter", "xsrc": "jmoxley:18846:ccaf0c", "ysrc": "jmoxley:18846:ad1bf1", "textsrc": "jmoxley:18846:95bc99" } ], "layout": { "shapes": [ { "x0": "2025-08-19T13:30:09.327000", "x1": "2025-08-19T19:57:06.965000", "y0": 300, "y1": 300, "line": { "color": "rgb(255, 0, 0)", "width": 1 }, "type": "line", "xref": "x", "yref": "y" } ], "template": { "data": { "bar": [ { "type": "bar", "marker": { "line": { "color": "#E5ECF6", "width": 0.5 } }, "error_x": { "color": "#2a3f5f" }, "error_y": { "color": "#2a3f5f" } } ], "pie": [ { "type": "pie", "automargin": true } ], "table": [ { "type": "table", "cells": { "fill": { "color": "#EBF0F8" }, "line": { "color": "white" } }, "header": { "fill": { "color": "#C8D4E3" }, "line": { "color": "white" } } } ], "carpet": [ { "type": "carpet", "aaxis": { "gridcolor": "white", "linecolor": "white", "endlinecolor": "#2a3f5f", "minorgridcolor": "white", "startlinecolor": "#2a3f5f" }, "baxis": { "gridcolor": "white", "linecolor": "white", "endlinecolor": "#2a3f5f", "minorgridcolor": "white", "startlinecolor": "#2a3f5f" } } ], "mesh3d": [ { "type": "mesh3d", "colorbar": { "ticks": "", "outlinewidth": 0 } } ], "contour": [ { "type": "contour", "colorbar": { "ticks": "", "outlinewidth": 0 }, "colorscale": [ [ 0.0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1.0, "#f0f921" ] ] } ], "heatmap": [ { "type": "heatmap", "colorbar": { "ticks": "", "outlinewidth": 0 }, "colorscale": [ [ 0.0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1.0, "#f0f921" ] ] } ], "scatter": [ { "type": "scatter", "marker": { "colorbar": { "ticks": "", "outlinewidth": 0 } } } ], "surface": [ { "type": "surface", "colorbar": { "ticks": "", "outlinewidth": 0 }, "colorscale": [ [ 0.0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1.0, "#f0f921" ] ] } ], "barpolar": [ { "type": "barpolar", "marker": { "line": { "color": "#E5ECF6", "width": 0.5 } } } ], "heatmapgl": [ { "type": "heatmapgl", "colorbar": { "ticks": "", "outlinewidth": 0 }, "colorscale": [ [ 0.0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1.0, "#f0f921" ] ] } ], "histogram": [ { "type": "histogram", "marker": { "colorbar": { "ticks": "", "outlinewidth": 0 } } } ], "parcoords": [ { "line": { "colorbar": { "ticks": "", "outlinewidth": 0 } }, "type": "parcoords" } ], "scatter3d": [ { "line": { "colorbar": { "ticks": "", "outlinewidth": 0 } }, "type": "scatter3d", "marker": { "colorbar": { "ticks": "", "outlinewidth": 0 } } } ], "scattergl": [ { "type": "scattergl", "marker": { "colorbar": { "ticks": "", "outlinewidth": 0 } } } ], "choropleth": [ { "type": "choropleth", "colorbar": { "ticks": "", "outlinewidth": 0 } } ], "scattergeo": [ { "type": "scattergeo", "marker": { "colorbar": { "ticks": "", "outlinewidth": 0 } } } ], "histogram2d": [ { "type": "histogram2d", "colorbar": { "ticks": "", "outlinewidth": 0 }, "colorscale": [ [ 0.0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1.0, "#f0f921" ] ] } ], "scatterpolar": [ { "type": "scatterpolar", "marker": { "colorbar": { "ticks": "", "outlinewidth": 0 } } } ], "contourcarpet": [ { "type": "contourcarpet", "colorbar": { "ticks": "", "outlinewidth": 0 } } ], "scattercarpet": [ { "type": "scattercarpet", "marker": { "colorbar": { "ticks": "", "outlinewidth": 0 } } } ], "scattermapbox": [ { "type": "scattermapbox", "marker": { "colorbar": { "ticks": "", "outlinewidth": 0 } } } ], "scatterpolargl": [ { "type": "scatterpolargl", "marker": { "colorbar": { "ticks": "", "outlinewidth": 0 } } } ], "scatterternary": [ { "type": "scatterternary", "marker": { "colorbar": { "ticks": "", "outlinewidth": 0 } } } ], "histogram2dcontour": [ { "type": "histogram2dcontour", "colorbar": { "ticks": "", "outlinewidth": 0 }, "colorscale": [ [ 0.0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1.0, "#f0f921" ] ] } ] }, "layout": { "geo": { "bgcolor": "white", "showland": true, "lakecolor": "white", "landcolor": "#E5ECF6", "showlakes": true, "subunitcolor": "white" }, "font": { "color": "#2a3f5f" }, "polar": { "bgcolor": "#E5ECF6", "radialaxis": { "ticks": "", "gridcolor": "white", "linecolor": "white" }, "angularaxis": { "ticks": "", "gridcolor": "white", "linecolor": "white" } }, "scene": { "xaxis": { "ticks": "", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "zerolinecolor": "white", "showbackground": true, "backgroundcolor": "#E5ECF6" }, "yaxis": { "ticks": "", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "zerolinecolor": "white", "showbackground": true, "backgroundcolor": "#E5ECF6" }, "zaxis": { "ticks": "", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "zerolinecolor": "white", "showbackground": true, "backgroundcolor": "#E5ECF6" } }, "title": { "x": 0.05 }, "xaxis": { "ticks": "", "title": { "standoff": 15 }, "gridcolor": "white", "linecolor": "white", "automargin": true, "zerolinecolor": "white", "zerolinewidth": 2 }, "yaxis": { "ticks": "", "title": { "standoff": 15 }, "gridcolor": "white", "linecolor": "white", "automargin": true, "zerolinecolor": "white", "zerolinewidth": 2 }, "mapbox": { "style": "light" }, "ternary": { "aaxis": { "ticks": "", "gridcolor": "white", "linecolor": "white" }, "baxis": { "ticks": "", "gridcolor": "white", "linecolor": "white" }, "caxis": { "ticks": "", "gridcolor": "white", "linecolor": "white" }, "bgcolor": "#E5ECF6" }, "colorway": [ "#636efa", "#EF553B", "#00cc96", "#ab63fa", "#FFA15A", "#19d3f3", "#FF6692", "#B6E880", "#FF97FF", "#FECB52" ], "coloraxis": { "colorbar": { "ticks": "", "outlinewidth": 0 } }, "hovermode": "closest", "colorscale": { "diverging": [ [ 0, "#8e0152" ], [ 0.1, "#c51b7d" ], [ 0.2, "#de77ae" ], [ 0.3, "#f1b6da" ], [ 0.4, "#fde0ef" ], [ 0.5, "#f7f7f7" ], [ 0.6, "#e6f5d0" ], [ 0.7, "#b8e186" ], [ 0.8, "#7fbc41" ], [ 0.9, "#4d9221" ], [ 1, "#276419" ] ], "sequential": [ [ 0.0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1.0, "#f0f921" ] ], "sequentialminus": [ [ 0.0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1.0, "#f0f921" ] ] }, "hoverlabel": { "align": "left" }, "plot_bgcolor": "#E5ECF6", "paper_bgcolor": "white", "shapedefaults": { "line": { "color": "#2a3f5f" } }, "autotypenumbers": "strict", "annotationdefaults": { "arrowhead": 0, "arrowcolor": "#2a3f5f", "arrowwidth": 1 } } } } }, "height": null, "width": null, "user": { "profile_url": "https://chart-studio.plotly.com/~jmoxley", "avatar_url": "https://storage.googleapis.com/plotly-prod-profiles/46.jpg", "background_url": "https://storage.googleapis.com/plotly-prod-profiles/bg-5.jpg", "bio": "", "nickname": "", "website": "", "stream_tokens": null, "feature_set_id": null, "csrf_token": null, "date_joined": "2019-07-02 18:27:30", "mapbox_access_tokens": null, "has_password": null, "username": "jmoxley", "email": null, "is_active": null, "readonly": null, "is_dash_creator": null, "dash_created_count": null, "is_chart_creator": null, "charts_created_count": null } }, { "creation_time": "2025-08-20T15:26:27.069250Z", "comments": { "results": [], "count": 0 }, "parented": true, "embed_url": "https://chart-studio.plotly.com/~jmoxley/18845.embed", "fid": "jmoxley:18845", "filename": "20250819_linkage", "filetype": "plot", "img_url": "https://storage.googleapis.com/plotly-prod-images/jmoxley/18845/9_J8MI095TVHCDSCUIP8PW208TU1J5EI.png", "image_urls": { "default": "https://storage.googleapis.com/plotly-prod-images/jmoxley/18845/2_FAI8O46SR3CBY38IHGFBG1DTV026YY.png", "block-thumb": "https://storage.googleapis.com/plotly-prod-images/jmoxley/18845/8_E5UHNZHY3CDL1WD5MTDSEUKI8KGYOC.png", "list-thumb": "https://storage.googleapis.com/plotly-prod-images/jmoxley/18845/9_J8MI095TVHCDSCUIP8PW208TU1J5EI.png" }, "api_urls": { "files": "https://api.plotly.com/v2/files/jmoxley:18845", "plots": "https://api.plotly.com/v2/plots/jmoxley:18845", "parent": "https://api.plotly.com/v2/folders/home?user=jmoxley" }, "owner": "jmoxley", "parent": -1, "preview": "", "referencers": [], "references": [], "title": "", "views": 0, "web_url": "https://chart-studio.plotly.com/~jmoxley/18845/", "world_readable": true, "date_modified": "2025-08-20T15:26:27.110Z", "stars": { "results": [], "count": 0 }, "collaborators": { "results": [], "count": 0 }, "subfolder_count": null, "refresh_interval": null, "organize_view_url": "https://chart-studio.plotly.com/~jmoxley/18845/", "current_user_permission": "read", "is_theme": null, "is_template": null, "autosize": true, "caption": "", "figure": { "data": [ { "mode": "markers", "name": "FIX", "type": "scatter", "xsrc": "jmoxley:18844:be7eb6", "ysrc": "jmoxley:18844:5b7d53" }, { "mode": "markers", "name": "MEO", "type": "scatter", "xsrc": "jmoxley:18844:26771e", "ysrc": "jmoxley:18844:35dbe3" } ], "layout": { "shapes": [ { "x0": "2025-08-19T13:30:09.327000", "x1": "2025-08-19T19:57:06.965000", "y0": 300, "y1": 300, "line": { "color": "rgb(255, 0, 0)", "width": 1 }, "type": "line", "xref": "x", "yref": "y" } ], "template": { "data": { "bar": [ { "type": "bar", "marker": { "line": { "color": "#E5ECF6", "width": 0.5 } }, "error_x": { "color": "#2a3f5f" }, "error_y": { "color": "#2a3f5f" } } ], "pie": [ { "type": "pie", "automargin": true } ], "table": [ { "type": "table", "cells": { "fill": { "color": "#EBF0F8" }, "line": { "color": "white" } }, "header": { "fill": { "color": "#C8D4E3" }, "line": { "color": "white" } } } ], "carpet": [ { "type": "carpet", "aaxis": { "gridcolor": "white", "linecolor": "white", "endlinecolor": "#2a3f5f", "minorgridcolor": "white", "startlinecolor": "#2a3f5f" }, "baxis": { "gridcolor": "white", "linecolor": "white", "endlinecolor": "#2a3f5f", "minorgridcolor": "white", "startlinecolor": "#2a3f5f" } } ], "mesh3d": [ { "type": "mesh3d", "colorbar": { "ticks": "", "outlinewidth": 0 } } ], "contour": [ { "type": "contour", "colorbar": { "ticks": "", "outlinewidth": 0 }, "colorscale": [ [ 0.0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1.0, "#f0f921" ] ] } ], "heatmap": [ { "type": "heatmap", "colorbar": { "ticks": "", "outlinewidth": 0 }, "colorscale": [ [ 0.0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1.0, "#f0f921" ] ] } ], "scatter": [ { "type": "scatter", "marker": { "colorbar": { "ticks": "", "outlinewidth": 0 } } } ], "surface": [ { "type": "surface", "colorbar": { "ticks": "", "outlinewidth": 0 }, "colorscale": [ [ 0.0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1.0, "#f0f921" ] ] } ], "barpolar": [ { "type": "barpolar", "marker": { "line": { "color": "#E5ECF6", "width": 0.5 } } } ], "heatmapgl": [ { "type": "heatmapgl", "colorbar": { "ticks": "", "outlinewidth": 0 }, "colorscale": [ [ 0.0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1.0, "#f0f921" ] ] } ], "histogram": [ { "type": "histogram", "marker": { "colorbar": { "ticks": "", "outlinewidth": 0 } } } ], "parcoords": [ { "line": { "colorbar": { "ticks": "", "outlinewidth": 0 } }, "type": "parcoords" } ], "scatter3d": [ { "line": { "colorbar": { "ticks": "", "outlinewidth": 0 } }, "type": "scatter3d", "marker": { "colorbar": { "ticks": "", "outlinewidth": 0 } } } ], "scattergl": [ { "type": "scattergl", "marker": { "colorbar": { "ticks": "", "outlinewidth": 0 } } } ], "choropleth": [ { "type": "choropleth", "colorbar": { "ticks": "", "outlinewidth": 0 } } ], "scattergeo": [ { "type": "scattergeo", "marker": { "colorbar": { "ticks": "", "outlinewidth": 0 } } } ], "histogram2d": [ { "type": "histogram2d", "colorbar": { "ticks": "", "outlinewidth": 0 }, "colorscale": [ [ 0.0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1.0, "#f0f921" ] ] } ], "scatterpolar": [ { "type": "scatterpolar", "marker": { "colorbar": { "ticks": "", "outlinewidth": 0 } } } ], "contourcarpet": [ { "type": "contourcarpet", "colorbar": { "ticks": "", "outlinewidth": 0 } } ], "scattercarpet": [ { "type": "scattercarpet", "marker": { "colorbar": { "ticks": "", "outlinewidth": 0 } } } ], "scattermapbox": [ { "type": "scattermapbox", "marker": { "colorbar": { "ticks": "", "outlinewidth": 0 } } } ], "scatterpolargl": [ { "type": "scatterpolargl", "marker": { "colorbar": { "ticks": "", "outlinewidth": 0 } } } ], "scatterternary": [ { "type": "scatterternary", "marker": { "colorbar": { "ticks": "", "outlinewidth": 0 } } } ], "histogram2dcontour": [ { "type": "histogram2dcontour", "colorbar": { "ticks": "", "outlinewidth": 0 }, "colorscale": [ [ 0.0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1.0, "#f0f921" ] ] } ] }, "layout": { "geo": { "bgcolor": "white", "showland": true, "lakecolor": "white", "landcolor": "#E5ECF6", "showlakes": true, "subunitcolor": "white" }, "font": { "color": "#2a3f5f" }, "polar": { "bgcolor": "#E5ECF6", "radialaxis": { "ticks": "", "gridcolor": "white", "linecolor": "white" }, "angularaxis": { "ticks": "", "gridcolor": "white", "linecolor": "white" } }, "scene": { "xaxis": { "ticks": "", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "zerolinecolor": "white", "showbackground": true, "backgroundcolor": "#E5ECF6" }, "yaxis": { "ticks": "", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "zerolinecolor": "white", "showbackground": true, "backgroundcolor": "#E5ECF6" }, "zaxis": { "ticks": "", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "zerolinecolor": "white", "showbackground": true, "backgroundcolor": "#E5ECF6" } }, "title": { "x": 0.05 }, "xaxis": { "ticks": "", "title": { "standoff": 15 }, "gridcolor": "white", "linecolor": "white", "automargin": true, "zerolinecolor": "white", "zerolinewidth": 2 }, "yaxis": { "ticks": "", "title": { "standoff": 15 }, "gridcolor": "white", "linecolor": "white", "automargin": true, "zerolinecolor": "white", "zerolinewidth": 2 }, "mapbox": { "style": "light" }, "ternary": { "aaxis": { "ticks": "", "gridcolor": "white", "linecolor": "white" }, "baxis": { "ticks": "", "gridcolor": "white", "linecolor": "white" }, "caxis": { "ticks": "", "gridcolor": "white", "linecolor": "white" }, "bgcolor": "#E5ECF6" }, "colorway": [ "#636efa", "#EF553B", "#00cc96", "#ab63fa", "#FFA15A", "#19d3f3", "#FF6692", "#B6E880", "#FF97FF", "#FECB52" ], "coloraxis": { "colorbar": { "ticks": "", "outlinewidth": 0 } }, "hovermode": "closest", "colorscale": { "diverging": [ [ 0, "#8e0152" ], [ 0.1, "#c51b7d" ], [ 0.2, "#de77ae" ], [ 0.3, "#f1b6da" ], [ 0.4, "#fde0ef" ], [ 0.5, "#f7f7f7" ], [ 0.6, "#e6f5d0" ], [ 0.7, "#b8e186" ], [ 0.8, "#7fbc41" ], [ 0.9, "#4d9221" ], [ 1, "#276419" ] ], "sequential": [ [ 0.0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1.0, "#f0f921" ] ], "sequentialminus": [ [ 0.0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1.0, "#f0f921" ] ] }, "hoverlabel": { "align": "left" }, "plot_bgcolor": "#E5ECF6", "paper_bgcolor": "white", "shapedefaults": { "line": { "color": "#2a3f5f" } }, "autotypenumbers": "strict", "annotationdefaults": { "arrowhead": 0, "arrowcolor": "#2a3f5f", "arrowwidth": 1 } } } } }, "height": null, "width": null, "user": { "profile_url": "https://chart-studio.plotly.com/~jmoxley", "avatar_url": "https://storage.googleapis.com/plotly-prod-profiles/46.jpg", "background_url": "https://storage.googleapis.com/plotly-prod-profiles/bg-5.jpg", "bio": "", "nickname": "", "website": "", "stream_tokens": null, "feature_set_id": null, "csrf_token": null, "date_joined": "2019-07-02 18:27:30", "mapbox_access_tokens": null, "has_password": null, "username": "jmoxley", "email": null, "is_active": null, "readonly": null, "is_dash_creator": null, "dash_created_count": null, "is_chart_creator": null, "charts_created_count": null } }, { "creation_time": "2025-08-20T15:26:05.607952Z", "comments": { "results": [], "count": 0 }, "parented": true, "embed_url": "https://chart-studio.plotly.com/~jmoxley/18843.embed", "fid": "jmoxley:18843", "filename": "20250819_linkage_history_miax_b", "filetype": "plot", "img_url": "https://storage.googleapis.com/plotly-prod-images/jmoxley/18843/9_8H1F1XMEV6KWDVOCRV52XYI3HNYFSY.png", "image_urls": { "default": "https://storage.googleapis.com/plotly-prod-images/jmoxley/18843/2_ENQAIB3LEZ0ZBPBAVSS0VB6SU1GXSD.png", "block-thumb": "https://storage.googleapis.com/plotly-prod-images/jmoxley/18843/8_G5HHJUH5HV3M9WAIB0NUGBXFJV19DH.png", "list-thumb": "https://storage.googleapis.com/plotly-prod-images/jmoxley/18843/9_8H1F1XMEV6KWDVOCRV52XYI3HNYFSY.png" }, "api_urls": { "files": "https://api.plotly.com/v2/files/jmoxley:18843", "plots": "https://api.plotly.com/v2/plots/jmoxley:18843", "parent": "https://api.plotly.com/v2/folders/home?user=jmoxley" }, "owner": "jmoxley", "parent": -1, "preview": "", "referencers": [], "references": [], "title": "", "views": 0, "web_url": "https://chart-studio.plotly.com/~jmoxley/18843/", "world_readable": true, "date_modified": "2025-08-20T15:26:05.651Z", "stars": { "results": [], "count": 0 }, "collaborators": { "results": [], "count": 0 }, "subfolder_count": null, "refresh_interval": null, "organize_view_url": "https://chart-studio.plotly.com/~jmoxley/18843/", "current_user_permission": "read", "is_theme": null, "is_template": null, "autosize": true, "caption": "", "figure": { "data": [ { "mode": "lines", "name": "Mean", "type": "scatter", "xsrc": "jmoxley:18842:e6aa61", "ysrc": "jmoxley:18842:c84457" }, { "mode": "lines", "name": "Median", "type": "scatter", "xsrc": "jmoxley:18842:f3395f", "ysrc": "jmoxley:18842:1362b4" }, { "mode": "lines", "name": "Min", "type": "scatter", "xsrc": "jmoxley:18842:0561b4", "ysrc": "jmoxley:18842:000c15" }, { "mode": "lines", "name": "StDev", "type": "scatter", "xsrc": "jmoxley:18842:fff729", "ysrc": "jmoxley:18842:99d54a" }, { "mode": "lines", "name": "Orders Scaled", "type": "scatter", "xsrc": "jmoxley:18842:7de35a", "ysrc": "jmoxley:18842:3c09f3" } ], "layout": { "template": { "data": { "bar": [ { "type": "bar", "marker": { "line": { "color": "#E5ECF6", "width": 0.5 } }, "error_x": { "color": "#2a3f5f" }, "error_y": { "color": "#2a3f5f" } } ], "pie": [ { "type": "pie", "automargin": true } ], "table": [ { "type": "table", "cells": { "fill": { "color": "#EBF0F8" }, "line": { "color": "white" } }, "header": { "fill": { "color": "#C8D4E3" }, "line": { "color": "white" } } } ], "carpet": [ { "type": "carpet", "aaxis": { "gridcolor": "white", "linecolor": "white", "endlinecolor": "#2a3f5f", "minorgridcolor": "white", "startlinecolor": "#2a3f5f" }, "baxis": { "gridcolor": "white", "linecolor": "white", "endlinecolor": "#2a3f5f", "minorgridcolor": "white", "startlinecolor": "#2a3f5f" } } ], "mesh3d": [ { "type": "mesh3d", "colorbar": { "ticks": "", "outlinewidth": 0 } } ], "contour": [ { "type": "contour", "colorbar": { "ticks": "", "outlinewidth": 0 }, "colorscale": [ [ 0.0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1.0, "#f0f921" ] ] } ], "heatmap": [ { "type": "heatmap", "colorbar": { "ticks": "", "outlinewidth": 0 }, "colorscale": [ [ 0.0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1.0, "#f0f921" ] ] } ], "scatter": [ { "type": "scatter", "marker": { "colorbar": { "ticks": "", "outlinewidth": 0 } } } ], "surface": [ { "type": "surface", "colorbar": { "ticks": "", "outlinewidth": 0 }, "colorscale": [ [ 0.0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1.0, "#f0f921" ] ] } ], "barpolar": [ { "type": "barpolar", "marker": { "line": { "color": "#E5ECF6", "width": 0.5 } } } ], "heatmapgl": [ { "type": "heatmapgl", "colorbar": { "ticks": "", "outlinewidth": 0 }, "colorscale": [ [ 0.0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1.0, "#f0f921" ] ] } ], "histogram": [ { "type": "histogram", "marker": { "colorbar": { "ticks": "", "outlinewidth": 0 } } } ], "parcoords": [ { "line": { "colorbar": { "ticks": "", "outlinewidth": 0 } }, "type": "parcoords" } ], "scatter3d": [ { "line": { "colorbar": { "ticks": "", "outlinewidth": 0 } }, "type": "scatter3d", "marker": { "colorbar": { "ticks": "", "outlinewidth": 0 } } } ], "scattergl": [ { "type": "scattergl", "marker": { "colorbar": { "ticks": "", "outlinewidth": 0 } } } ], "choropleth": [ { "type": "choropleth", "colorbar": { "ticks": "", "outlinewidth": 0 } } ], "scattergeo": [ { "type": "scattergeo", "marker": { "colorbar": { "ticks": "", "outlinewidth": 0 } } } ], "histogram2d": [ { "type": "histogram2d", "colorbar": { "ticks": "", "outlinewidth": 0 }, "colorscale": [ [ 0.0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1.0, "#f0f921" ] ] } ], "scatterpolar": [ { "type": "scatterpolar", "marker": { "colorbar": { "ticks": "", "outlinewidth": 0 } } } ], "contourcarpet": [ { "type": "contourcarpet", "colorbar": { "ticks": "", "outlinewidth": 0 } } ], "scattercarpet": [ { "type": "scattercarpet", "marker": { "colorbar": { "ticks": "", "outlinewidth": 0 } } } ], "scattermapbox": [ { "type": "scattermapbox", "marker": { "colorbar": { "ticks": "", "outlinewidth": 0 } } } ], "scatterpolargl": [ { "type": "scatterpolargl", "marker": { "colorbar": { "ticks": "", "outlinewidth": 0 } } } ], "scatterternary": [ { "type": "scatterternary", "marker": { "colorbar": { "ticks": "", "outlinewidth": 0 } } } ], "histogram2dcontour": [ { "type": "histogram2dcontour", "colorbar": { "ticks": "", "outlinewidth": 0 }, "colorscale": [ [ 0.0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1.0, "#f0f921" ] ] } ] }, "layout": { "geo": { "bgcolor": "white", "showland": true, "lakecolor": "white", "landcolor": "#E5ECF6", "showlakes": true, "subunitcolor": "white" }, "font": { "color": "#2a3f5f" }, "polar": { "bgcolor": "#E5ECF6", "radialaxis": { "ticks": "", "gridcolor": "white", "linecolor": "white" }, "angularaxis": { "ticks": "", "gridcolor": "white", "linecolor": "white" } }, "scene": { "xaxis": { "ticks": "", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "zerolinecolor": "white", "showbackground": true, "backgroundcolor": "#E5ECF6" }, "yaxis": { "ticks": "", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "zerolinecolor": "white", "showbackground": true, "backgroundcolor": "#E5ECF6" }, "zaxis": { "ticks": "", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "zerolinecolor": "white", "showbackground": true, "backgroundcolor": "#E5ECF6" } }, "title": { "x": 0.05 }, "xaxis": { "ticks": "", "title": { "standoff": 15 }, "gridcolor": "white", "linecolor": "white", "automargin": true, "zerolinecolor": "white", "zerolinewidth": 2 }, "yaxis": { "ticks": "", "title": { "standoff": 15 }, "gridcolor": "white", "linecolor": "white", "automargin": true, "zerolinecolor": "white", "zerolinewidth": 2 }, "mapbox": { "style": "light" }, "ternary": { "aaxis": { "ticks": "", "gridcolor": "white", "linecolor": "white" }, "baxis": { "ticks": "", "gridcolor": "white", "linecolor": "white" }, "caxis": { "ticks": "", "gridcolor": "white", "linecolor": "white" }, "bgcolor": "#E5ECF6" }, "colorway": [ "#636efa", "#EF553B", "#00cc96", "#ab63fa", "#FFA15A", "#19d3f3", "#FF6692", "#B6E880", "#FF97FF", "#FECB52" ], "coloraxis": { "colorbar": { "ticks": "", "outlinewidth": 0 } }, "hovermode": "closest", "colorscale": { "diverging": [ [ 0, "#8e0152" ], [ 0.1, "#c51b7d" ], [ 0.2, "#de77ae" ], [ 0.3, "#f1b6da" ], [ 0.4, "#fde0ef" ], [ 0.5, "#f7f7f7" ], [ 0.6, "#e6f5d0" ], [ 0.7, "#b8e186" ], [ 0.8, "#7fbc41" ], [ 0.9, "#4d9221" ], [ 1, "#276419" ] ], "sequential": [ [ 0.0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1.0, "#f0f921" ] ], "sequentialminus": [ [ 0.0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1.0, "#f0f921" ] ] }, "hoverlabel": { "align": "left" }, "plot_bgcolor": "#E5ECF6", "paper_bgcolor": "white", "shapedefaults": { "line": { "color": "#2a3f5f" } }, "autotypenumbers": "strict", "annotationdefaults": { "arrowhead": 0, "arrowcolor": "#2a3f5f", "arrowwidth": 1 } } } } }, "height": null, "width": null, "user": { "profile_url": "https://chart-studio.plotly.com/~jmoxley", "avatar_url": "https://storage.googleapis.com/plotly-prod-profiles/46.jpg", "background_url": "https://storage.googleapis.com/plotly-prod-profiles/bg-5.jpg", "bio": "", "nickname": "", "website": "", "stream_tokens": null, "feature_set_id": null, "csrf_token": null, "date_joined": "2019-07-02 18:27:30", "mapbox_access_tokens": null, "has_password": null, "username": "jmoxley", "email": null, "is_active": null, "readonly": null, "is_dash_creator": null, "dash_created_count": null, "is_chart_creator": null, "charts_created_count": null } }, { "creation_time": "2025-08-20T15:26:00.838956Z", "comments": { "results": [], "count": 0 }, "parented": true, "embed_url": "https://chart-studio.plotly.com/~jmoxley/18841.embed", "fid": "jmoxley:18841", "filename": "20250819_linkage_history_b", "filetype": "plot", "img_url": "https://storage.googleapis.com/plotly-prod-images/jmoxley/18841/9_WPKQDSSGS66FPYAJC2IAB8R5LA75W1.png", "image_urls": { "default": "https://storage.googleapis.com/plotly-prod-images/jmoxley/18841/2_9LGHGM11U9385MX9DKBBD8C9AXZI24.png", "block-thumb": "https://storage.googleapis.com/plotly-prod-images/jmoxley/18841/8_ZJ2MMVWIM4LX8XWCXJWDE2JKSKB9XB.png", "list-thumb": "https://storage.googleapis.com/plotly-prod-images/jmoxley/18841/9_WPKQDSSGS66FPYAJC2IAB8R5LA75W1.png" }, "api_urls": { "files": "https://api.plotly.com/v2/files/jmoxley:18841", "plots": "https://api.plotly.com/v2/plots/jmoxley:18841", "parent": "https://api.plotly.com/v2/folders/home?user=jmoxley" }, "owner": "jmoxley", "parent": -1, "preview": "", "referencers": [], "references": [], "title": "", "views": 0, "web_url": "https://chart-studio.plotly.com/~jmoxley/18841/", "world_readable": true, "date_modified": "2025-08-20T15:26:00.881Z", "stars": { "results": [], "count": 0 }, "collaborators": { "results": [], "count": 0 }, "subfolder_count": null, "refresh_interval": null, "organize_view_url": "https://chart-studio.plotly.com/~jmoxley/18841/", "current_user_permission": "read", "is_theme": null, "is_template": null, "autosize": true, "caption": "", "figure": { "data": [ { "mode": "lines", "name": "Mean", "type": "scatter", "xsrc": "jmoxley:18840:41c688", "ysrc": "jmoxley:18840:012edf" }, { "mode": "lines", "name": "Median", "type": "scatter", "xsrc": "jmoxley:18840:29b231", "ysrc": "jmoxley:18840:703cdf" }, { "mode": "lines", "name": "Min", "type": "scatter", "xsrc": "jmoxley:18840:8a8ebd", "ysrc": "jmoxley:18840:5f4f5e" }, { "mode": "lines", "name": "StDev", "type": "scatter", "xsrc": "jmoxley:18840:fbc744", "ysrc": "jmoxley:18840:a9d99a" }, { "mode": "lines", "name": "Orders Scaled", "type": "scatter", "xsrc": "jmoxley:18840:dd59e4", "ysrc": "jmoxley:18840:285b07" } ], "layout": { "template": { "data": { "bar": [ { "type": "bar", "marker": { "line": { "color": "#E5ECF6", "width": 0.5 } }, "error_x": { "color": "#2a3f5f" }, "error_y": { "color": "#2a3f5f" } } ], "pie": [ { "type": "pie", "automargin": true } ], "table": [ { "type": "table", "cells": { "fill": { "color": "#EBF0F8" }, "line": { "color": "white" } }, "header": { "fill": { "color": "#C8D4E3" }, "line": { "color": "white" } } } ], "carpet": [ { "type": "carpet", "aaxis": { "gridcolor": "white", "linecolor": "white", "endlinecolor": "#2a3f5f", "minorgridcolor": "white", "startlinecolor": "#2a3f5f" }, "baxis": { "gridcolor": "white", "linecolor": "white", "endlinecolor": "#2a3f5f", "minorgridcolor": "white", "startlinecolor": "#2a3f5f" } } ], "mesh3d": [ { "type": "mesh3d", "colorbar": { "ticks": "", "outlinewidth": 0 } } ], "contour": [ { "type": "contour", "colorbar": { "ticks": "", "outlinewidth": 0 }, "colorscale": [ [ 0.0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1.0, "#f0f921" ] ] } ], "heatmap": [ { "type": "heatmap", "colorbar": { "ticks": "", "outlinewidth": 0 }, "colorscale": [ [ 0.0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1.0, "#f0f921" ] ] } ], "scatter": [ { "type": "scatter", "marker": { "colorbar": { "ticks": "", "outlinewidth": 0 } } } ], "surface": [ { "type": "surface", "colorbar": { "ticks": "", "outlinewidth": 0 }, "colorscale": [ [ 0.0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1.0, "#f0f921" ] ] } ], "barpolar": [ { "type": "barpolar", "marker": { "line": { "color": "#E5ECF6", "width": 0.5 } } } ], "heatmapgl": [ { "type": "heatmapgl", "colorbar": { "ticks": "", "outlinewidth": 0 }, "colorscale": [ [ 0.0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1.0, "#f0f921" ] ] } ], "histogram": [ { "type": "histogram", "marker": { "colorbar": { "ticks": "", "outlinewidth": 0 } } } ], "parcoords": [ { "line": { "colorbar": { "ticks": "", "outlinewidth": 0 } }, "type": "parcoords" } ], "scatter3d": [ { "line": { "colorbar": { "ticks": "", "outlinewidth": 0 } }, "type": "scatter3d", "marker": { "colorbar": { "ticks": "", "outlinewidth": 0 } } } ], "scattergl": [ { "type": "scattergl", "marker": { "colorbar": { "ticks": "", "outlinewidth": 0 } } } ], "choropleth": [ { "type": "choropleth", "colorbar": { "ticks": "", "outlinewidth": 0 } } ], "scattergeo": [ { "type": "scattergeo", "marker": { "colorbar": { "ticks": "", "outlinewidth": 0 } } } ], "histogram2d": [ { "type": "histogram2d", "colorbar": { "ticks": "", "outlinewidth": 0 }, "colorscale": [ [ 0.0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1.0, "#f0f921" ] ] } ], "scatterpolar": [ { "type": "scatterpolar", "marker": { "colorbar": { "ticks": "", "outlinewidth": 0 } } } ], "contourcarpet": [ { "type": "contourcarpet", "colorbar": { "ticks": "", "outlinewidth": 0 } } ], "scattercarpet": [ { "type": "scattercarpet", "marker": { "colorbar": { "ticks": "", "outlinewidth": 0 } } } ], "scattermapbox": [ { "type": "scattermapbox", "marker": { "colorbar": { "ticks": "", "outlinewidth": 0 } } } ], "scatterpolargl": [ { "type": "scatterpolargl", "marker": { "colorbar": { "ticks": "", "outlinewidth": 0 } } } ], "scatterternary": [ { "type": "scatterternary", "marker": { "colorbar": { "ticks": "", "outlinewidth": 0 } } } ], "histogram2dcontour": [ { "type": "histogram2dcontour", "colorbar": { "ticks": "", "outlinewidth": 0 }, "colorscale": [ [ 0.0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1.0, "#f0f921" ] ] } ] }, "layout": { "geo": { "bgcolor": "white", "showland": true, "lakecolor": "white", "landcolor": "#E5ECF6", "showlakes": true, "subunitcolor": "white" }, "font": { "color": "#2a3f5f" }, "polar": { "bgcolor": "#E5ECF6", "radialaxis": { "ticks": "", "gridcolor": "white", "linecolor": "white" }, "angularaxis": { "ticks": "", "gridcolor": "white", "linecolor": "white" } }, "scene": { "xaxis": { "ticks": "", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "zerolinecolor": "white", "showbackground": true, "backgroundcolor": "#E5ECF6" }, "yaxis": { "ticks": "", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "zerolinecolor": "white", "showbackground": true, "backgroundcolor": "#E5ECF6" }, "zaxis": { "ticks": "", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "zerolinecolor": "white", "showbackground": true, "backgroundcolor": "#E5ECF6" } }, "title": { "x": 0.05 }, "xaxis": { "ticks": "", "title": { "standoff": 15 }, "gridcolor": "white", "linecolor": "white", "automargin": true, "zerolinecolor": "white", "zerolinewidth": 2 }, "yaxis": { "ticks": "", "title": { "standoff": 15 }, "gridcolor": "white", "linecolor": "white", "automargin": true, "zerolinecolor": "white", "zerolinewidth": 2 }, "mapbox": { "style": "light" }, "ternary": { "aaxis": { "ticks": "", "gridcolor": "white", "linecolor": "white" }, "baxis": { "ticks": "", "gridcolor": "white", "linecolor": "white" }, "caxis": { "ticks": "", "gridcolor": "white", "linecolor": "white" }, "bgcolor": "#E5ECF6" }, "colorway": [ "#636efa", "#EF553B", "#00cc96", "#ab63fa", "#FFA15A", "#19d3f3", "#FF6692", "#B6E880", "#FF97FF", "#FECB52" ], "coloraxis": { "colorbar": { "ticks": "", "outlinewidth": 0 } }, "hovermode": "closest", "colorscale": { "diverging": [ [ 0, "#8e0152" ], [ 0.1, "#c51b7d" ], [ 0.2, "#de77ae" ], [ 0.3, "#f1b6da" ], [ 0.4, "#fde0ef" ], [ 0.5, "#f7f7f7" ], [ 0.6, "#e6f5d0" ], [ 0.7, "#b8e186" ], [ 0.8, "#7fbc41" ], [ 0.9, "#4d9221" ], [ 1, "#276419" ] ], "sequential": [ [ 0.0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1.0, "#f0f921" ] ], "sequentialminus": [ [ 0.0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1.0, "#f0f921" ] ] }, "hoverlabel": { "align": "left" }, "plot_bgcolor": "#E5ECF6", "paper_bgcolor": "white", "shapedefaults": { "line": { "color": "#2a3f5f" } }, "autotypenumbers": "strict", "annotationdefaults": { "arrowhead": 0, "arrowcolor": "#2a3f5f", "arrowwidth": 1 } } } } }, "height": null, "width": null, "user": { "profile_url": "https://chart-studio.plotly.com/~jmoxley", "avatar_url": "https://storage.googleapis.com/plotly-prod-profiles/46.jpg", "background_url": "https://storage.googleapis.com/plotly-prod-profiles/bg-5.jpg", "bio": "", "nickname": "", "website": "", "stream_tokens": null, "feature_set_id": null, "csrf_token": null, "date_joined": "2019-07-02 18:27:30", "mapbox_access_tokens": null, "has_password": null, "username": "jmoxley", "email": null, "is_active": null, "readonly": null, "is_dash_creator": null, "dash_created_count": null, "is_chart_creator": null, "charts_created_count": null } } ] }
