Perspective example gallery

130 live, editable examples of Perspective data grids, pivot tables, WebGL charts, maps and real-time dashboards. Every example runs entirely in the browser on WebAssembly.

Dashboards and datasets

Superstore — Data grid.
Superstore (Workspace) — 3-panel dashboard of Y Bar, Datagrid and Treemap: Y Bar chart of Sales, grouped by Sub-Category, split by Segment, sorted by Sales; Data grid of Sales and Profit, grouped by Region and State, split by Category and Sub-Category, sorted by Profit; Treemap chart of Sales and Profit, grouped by Region and State, sorted by Profit.
NYPD CCRB — Data grid.
NYPD CCRB — Heatmap chart of AllegationID, grouped by bucket("IncidentDate", '3M'), split by Allegation, filtered to IncidentDate > 1985-01-01, IncidentDate < 2025-01-01, sorted by IncidentDate, with 1 computed expression column.
NYPD CCRB — 3-panel dashboard of Datagrid and 2 × Heatmap: Data grid of ComplaintID, grouped by FADOType and Allegation, sorted by ComplaintID; Heatmap chart of ComplaintID, grouped by bucket("IncidentDate", 'Y'), split by month_of_year("IncidentDate"), filtered to IncidentDate > 1985-01-01, IncidentDate < 2025-01-01, with 2 computed expression columns; Heatmap chart of ComplaintID, grouped by month_of_year("IncidentDate"), split by day_of_week("IncidentDate"), filtered to IncidentDate > 1985-01-01, IncidentDate < 2025-01-01, with 3 computed expression columns.
NYPD CCRB — 2-panel dashboard of Y Area and Y Line: Y Area chart of AllegationID, grouped by bucket("IncidentDate", 'M'), split by FADOType, filtered to IncidentDate > 1985-01-01, IncidentDate < 2025-01-01, sorted by AllegationID, with 1 computed expression column; Y Line chart of AllegationID, grouped by bucket("IncidentDate", 'M'), split by FADOType, filtered to IncidentDate > 1985-01-01, IncidentDate < 2025-01-01, sorted by AllegationID, with 1 computed expression column.
SF Evictions — Map Density chart of lon, lat and state, grouped by lat and lon, filtered to lon is not null, with 2 computed expression columns.
SF Evictions — Map Scatter chart of lon, lat and neighborhood, grouped by lat and lon, filtered to lon is not null, with 2 computed expression columns.
Movies — 4-panel dashboard of Heatmap, Y Line, Datagrid and Y Area: Heatmap chart of US Gross, grouped by bucket("Rotten Tomatoes Rating", 2.5), split by bucket("IMDB Rating", 0.25), filtered to bucket("IMDB Rating", 0.25) is not null, with 2 computed expression columns; Y Line chart of US Gross, Rotten Tomatoes Rating, Production Budget and Worldwide Gross, grouped by bucket("Release Date", 'Y'), with 1 computed expression column; Data grid of US Gross, grouped by Distributor, sorted by US Gross; Y Area chart of US Gross, grouped by bucket("Release Date", 'Y'), split by Major Genre, with 1 computed expression column.
Olympics — 2-panel dashboard of Heatmap and X/Y Scatter: Heatmap chart of Name, grouped by Age, split by Sport, sorted by Event; X/Y Scatter chart of Height, Weight and City, grouped by Sport.

Benchmarks

Benchmarks — JavaScript — 3-panel dashboard of Y Line, X Bar and Datagrid: Y Line chart of Time (ms), grouped by version, split by benchmark, filtered to outlier == false, sorted by version_idx, with 1 computed expression column; X Bar chart of Time (ms), grouped by benchmark, filtered to outlier == false, version_idx == 0, sorted by Time (ms), with 1 computed expression column; Data grid of Time (ms), grouped by benchmark, split by version, filtered to outlier == false, sorted by version_idx, with 1 computed expression column.
Benchmarks — JavaScript by release — Y Line chart of Time (ms), grouped by version, split by benchmark, filtered to outlier == false, sorted by version_idx, with 1 computed expression column.
Benchmarks — Python — 3-panel dashboard of Y Line, X Bar and Datagrid: Y Line chart of Time (ms), grouped by version, split by benchmark, filtered to outlier == false, sorted by version_idx, with 1 computed expression column; X Bar chart of Time (ms), grouped by benchmark, filtered to outlier == false, version_idx == 0, sorted by Time (ms), with 1 computed expression column; Data grid of Time (ms), grouped by benchmark, split by version, filtered to outlier == false, sorted by version_idx, with 1 computed expression column.
Benchmarks — Python by release — Y Line chart of Time (ms), grouped by version, split by benchmark, filtered to outlier == false, sorted by version_idx, with 1 computed expression column.

Real-time and streaming

Market — 3-panel dashboard of Datagrid, X Bar and Candlestick: Data grid of id, side, security and price, sorted by timestamp; X Bar chart of if("side"=='buy'){-1}else{1}, grouped by bucket("price", 0.5), split by side, filtered to status == open, sorted by bucket("price", 0.5), with 2 computed expression columns; Candlestick chart of price, price 2 and price 3, grouped by bucket("timestamp", 'm'), filtered to status == closed, with 3 computed expression columns.
Market — Themed — 3-panel dashboard of Datagrid, X Bar and Candlestick: Data grid of id, side, security and price, sorted by timestamp; X Bar chart of if("side"=='buy'){-1}else{1}, grouped by bucket("price", 0.5), split by side, filtered to status == open, sorted by bucket("price", 0.5), with 2 computed expression columns; Candlestick chart of price, price 2 and price 3, grouped by bucket("timestamp", 'm'), filtered to status == closed, with 3 computed expression columns.
Market — Orders — 3-panel dashboard of Y Bar, Heatmap and X/Y Scatter: Y Bar chart of if("side"=='buy'){1}else{-1}, grouped by bucket("timestamp", 'm'), split by side and status, with 3 computed expression columns; Heatmap chart of if("side"=='buy'){-1}else{1}, grouped by bucket("timestamp", 'm'), split by bucket("price", 0.5), with 3 computed expression columns; X/Y Scatter chart of timestamp, price and if("status"!='open'){"status"}else{"side"}, with 2 computed expression columns.
Market — Orders Themed — 3-panel dashboard of Y Bar, Heatmap and X/Y Scatter: Y Bar chart of if("side"=='buy'){1}else{-1}, grouped by bucket("timestamp", 'm'), split by side and status, with 3 computed expression columns; Heatmap chart of if("side"=='buy'){-1}else{1}, grouped by bucket("timestamp", 'm'), split by bucket("price", 0.5), with 3 computed expression columns; X/Y Scatter chart of timestamp, price and if("status"!='open'){"status"}else{"side"}, with 2 computed expression columns.
Webcam — Video Wall — 3-panel dashboard of Heatmap, Y Bar and X/Y Scatter: Heatmap chart of color, grouped by x, split by y, with 2 computed expression columns; Y Bar chart of color, grouped by bucket("color", 5), with 3 computed expression columns; X/Y Scatter chart of x, New Column 2 and color, grouped by x and y, filtered to x < 0, with 3 computed expression columns.
Webcam — Video Wall Themed — 3-panel dashboard of Heatmap, Y Bar and X/Y Scatter: Heatmap chart of color, grouped by x, split by y, with 2 computed expression columns; Y Bar chart of color, grouped by bucket("color", 5), with 3 computed expression columns; X/Y Scatter chart of x, New Column 2 and color, grouped by x and y, filtered to x < 0, with 3 computed expression columns.
Market — Heatmap — Heatmap chart of if("side"=='buy'){-1}else{1}, grouped by bucket("timestamp", 'm'), split by bucket("price", 0.5), with 3 computed expression columns.
Market — Heatmap (Closed) — Heatmap chart of if("side"=='buy'){-1}else{1}, grouped by bucket("timestamp", 'm'), split by bucket("price", 0.25), filtered to status == closed, with 3 computed expression columns.
Market — Closed Orders ((s) bucket) — Y Scatter chart of price, grouped by bucket("timestamp", 's'), split by if("status"!='open'){"status"}else{"side"}, with 3 computed expression columns.
Market — Closed Orders — X/Y Scatter chart of timestamp, price and if("status"!='open'){"status"}else{"side"}, with 2 computed expression columns.
Market — Mid Timeseries — Y Line chart of price, grouped by bucket("timestamp", 's'), split by status and side, filtered to status == closed, with 1 computed expression column.
Market — Depth Timeseries — Y Bar chart of if("side"=='buy'){1}else{-1}, grouped by bucket("timestamp", 'm'), split by side and status, with 3 computed expression columns.
Market — Blotter — Data grid of timestamp, id, Diff from market open and price, sorted by timestamp, with 3 computed expression columns.
Market — Order Book — Data grid of if("side"=='buy'){-1}else{1}, grouped by bucket("price", 0.5), split by side, filtered to status == open, sorted by bucket("price", 0.5), with 2 computed expression columns.
Market — Order Book (Chart) — X Bar chart of if("side"=='buy'){-1}else{1}, grouped by bucket("price", 0.5), split by side, filtered to status == open, sorted by bucket("price", 0.5), with 2 computed expression columns.
Market — Candlestick — Candlestick chart of price, price 2 and price 3, grouped by bucket("timestamp", 'm'), filtered to status == closed, with 3 computed expression columns.
Market — Candlestick 2 — Candlestick chart of price, grouped by bucket("timestamp", 'm'), filtered to status == closed, with 3 computed expression columns.
Market — Order Book (All Status) — X Bar chart of if("status"=='open' and "side"=='buy'){1}else{float(null)}, if("status"=='open' and "side"=='sell'){1}else{float(null)} and if("status"=='closed'){1}else{0}, grouped by bucket("price", 0.5), sorted by bucket("price", 0.5), with 6 computed expression columns.
Market — Order Book (Scatter All Status) — Y Scatter chart of if("status"=='open' and "side"=='buy'){1}else{float(null)}, if("status"=='open' and "side"=='sell'){1}else{float(null)} and if("status"=='closed'){1}else{0}, grouped by bucket("price", 0.5), with 6 computed expression columns.
Market — Order Book (Stack All Status) — X Bar chart of price, grouped by bucket("price", 0.5), split by if("status"=='closed'){'closed'}else{"side"}, filtered to status != expired, sorted by bucket("price", 0.5) and status, with 7 computed expression columns.
Market — Candlestick 3 Son Of Candllestick — Candlestick chart of New Column 1, New Column 2, New Column 3 and New Column 4, grouped by bucket("timestamp", 'm'), filtered to status == closed, with 3 computed expression columns.
Webcam — Spreadsheet Cam — Data grid of color, grouped by y, split by x, with 3 computed expression columns.
Webcam — Heatmap Cam — Heatmap chart of color, grouped by x, split by y, with 2 computed expression columns.
Webcam — Downsampled Heatmap Cam — Heatmap chart of color, grouped by x, split by y, with 2 computed expression columns.
Webcam — Luminosity Histogram — Y Bar chart of color, grouped by bucket("color", 5), with 3 computed expression columns.
Webcam — Small Spreadsheet Cam — Data grid of color, grouped by bucket(y, 5), split by bucket(x, 5), filtered to bucket(x, 5) < 0, with 3 computed expression columns.
Webcam — Max Headroom — Y Line chart of New Column 2, grouped by x, split by y, filtered to x < 0, with 3 computed expression columns.
Webcam — Scatter Cam — X/Y Scatter chart of x, New Column 2 and color, grouped by x and y, filtered to x < 0, with 3 computed expression columns.
Webcam — Raw Stream — Data grid of index and color.
Webcam — Density Cam — Density chart of x, y and color, with 2 computed expression columns.

Expressions

Mandelbrot — Heatmap chart of color, grouped by floor("index" / 200), split by "index" % 200, with 3 computed expression columns.
Raycasting — Heatmap chart of color, grouped by x, split by y, with 3 computed expression columns.

Configuration variations

Group By 1 — Data grid with 1 level of groups for rows — Data grid, grouped by Sub-Category.
Group By 2 — Data grid with 2 levels of groups for rows — Data grid, grouped by Category and Sub-Category.
Split By — Data grid with 1 level of categories for columns — Data grid of Sales, Quantity, Discount and Profit, split by Category.
Split By 2 — Data grid with 2 levels of categories and columns — Data grid of Sales, Quantity, Discount and Profit, split by Category and Sub-Category.
Both — Data grid with grouped rows and categorized columns — Data grid of Sales, Quantity, Discount and Profit, grouped by Region, split by Category.
Both 2 — Data grid with 2 levels of groups and 2 levels of categories — Data grid of Sales, Quantity, Discount and Profit, grouped by Region and State, split by Category and Sub-Category.
Flat Group By 1 — Flat data grid with 1 level of groups for rows, no rollup rows — Data grid, grouped by Sub-Category.
Flat Group By 2 — Flat data grid with 2 levels of groups for rows, no rollup rows — Data grid, grouped by Category and Sub-Category.
Flat Both — Flat data grid with grouped rows and categorized columns, no rollup rows — Data grid of Sales, Quantity, Discount and Profit, grouped by Region, split by Category.
Flat Both 2 — Flat data grid with 2 levels of groups and 2 levels of categories, no rollup rows — Data grid of Sales, Quantity, Discount and Profit, grouped by Region and State, split by Category and Sub-Category.
Background Row And Split By — Data grid with groups, categories, and solid color conditional highlighting — Data grid of Profit, grouped by State, split by Sub-Category, sorted by Profit.
Gradient Row And Split By — Data grid with groups, categories, and gradient conditional highlighting — Data grid of Profit, grouped by State, split by Sub-Category, sorted by Profit.
Background Row And Split By — Data grid with groups, categories, and a bar chart — Data grid of Sales, grouped by State, split by Sub-Category.
Foreground Colors — Data grid with 6 categories. 3 categories have conditional formatting using foreground colors. — Data grid of Category, Sales, Discount and Profit, sorted by Sub-Category.
Background Colors — Data grid with 6 categories. 3 categories have custom, solid color conditional formatting. — Data grid of Category, Sales, Discount and Profit, sorted by Sub-Category.
Gradient Colors — Data grid with 6 categories. 3 categories have custom, gradient color conditional formatting. — Data grid of Category, Sales, Discount and Profit, sorted by Sub-Category.
Bar Colors — Data grid with 6 categories. 3 categories have custom colored bars. — Data grid of Category, Sales, Discount and Profit, sorted by Sub-Category.
Label Bar — Data grid with 6 categories. 3 categories have label bars showing the value overlaid on the bar. — Data grid of Category, Sales, Discount and Profit, sorted by Sub-Category.
Label Bar Colors — Data grid with 6 categories. 3 categories have custom colored label bars. — Data grid of Category, Sales, Discount and Profit, sorted by Sub-Category.
Thermometer — Data grid with 1 group and 3 columns. 2 columns use bars and 1 column uses gradient conditional highlighting. — Data grid of Profit (-), Profit and Profit (+), grouped by State, with 2 computed expression columns.
Y Bar — Bar chart with 17 bars. X is 'Sub-Category', and Y is 'Sales'. — Y Bar chart of Sales, grouped by Sub-Category.
Y Bar, Sorted Desc By Y-Axis — Bar chart with 17 bars sorted descending. X is 'Sub-Category', and Y is 'Sales'. — Y Bar chart of Sales, grouped by Sub-Category, sorted by Sales.
Y Bar - Row And Split By — Stacked bar chart with 17 bars. X is 'Sub-Category', Y is 'Sales', and subgroup is 'Ship Mode' — Y Bar chart of Sales, grouped by Sub-Category, split by Ship Mode.
Y Bar - Group By 2 Sorted — Bar chart with 3 categories and 17 total subcategories, sorted descending within each category. — Y Bar chart of Sales, grouped by Category and Sub-Category, sorted by Sales.
Y Bar - Group By 2 And Split By Sorted — Bar chart with 3 colored categories and 17 total subcategories, sorted descending within each category. — Y Bar chart of Sales, grouped by Category and Sub-Category, split by Category, sorted by Sales.
Y Bar - Group By 2 And 2 Split By Sorted — Stacked bar chart with 3 categories and 17 total subcategories, sorted descending within each category. X is 'Category, Sub-Category', y is 'Sales', subgroup is 'Region' — Y Bar chart of Sales, grouped by Category and Sub-Category, split by Category and Region, sorted by Sales.
Y Bar - Group By 2 And 2 Split By Sorted 2 — Bar chart. X is 'State', Y is 'Profit'. Each state has, when applicable, 2 bars: Profit and Loss. States are sorted by Net. — Y Bar chart of Profit, grouped by State, split by Profit (-/+), sorted by Profit, with 1 computed expression column.
Y Bar Multi Axis — Groupd bar chart. X is 'Sub-Category', Y is 'Quantity' and 'Sales'. Each X value has 2 bars. — Y Bar chart of Quantity and Sales, grouped by Sub-Category, sorted by Sales.
Y Bar Multi Axis - SPlit — Groupd bar chart. X is 'Sub-Category', Y is 'Quantity', and the second Y is 'Sales'. Each X value has 2 bars. — Y Bar chart of Quantity and Sales, grouped by Sub-Category, sorted by Sales.
X Bar — Horizontal bar chart with 17 bars. X is 'Sub-Category' and Y is 'Sales'. — X Bar chart of Sales, grouped by Sub-Category.
X Bar — Grouped horizontal bar chart. X is 'Sub-Category' and Y is 'Quantity, Profit'. — X Bar chart of Quantity and Profit, grouped by Sub-Category.
X Bar, Sorted Desc By X-Axis — Sorted horizontal bar chart. X is 'Sub-Category' and Y is 'Sales'. — X Bar chart of Sales, grouped by Sub-Category, sorted by Sales.
X Bar - Row And Split By — Stacked horizontal bar chart. X is 'Sub-Category', Y is 'Sales', and subgroup is 'Region' — X Bar chart of Sales, grouped by Sub-Category, split by Region.
X Bar - Row And Split By — Sorted stacked horizontal bar chart. X is 'Sub-Category', Y is 'Sales', and subgroup is 'Region' — X Bar chart of Sales, grouped by Sub-Category, split by Region, sorted by Sales.
Y Line - Datetime Axis — Line chart. X is Order Date from January 2014 to December 2017. Y is 'Sales'. — Y Line chart of Sales, grouped by Order Date.
Y Line - Datetime Axis — Line chart with 3 lines. X is Order Date, Y is Sales, and the lines are 'Consumer', 'Corporate', and 'Home Office'. — Y Line chart of Sales, grouped by Order Date, split by Segment.
Y Line - Datetime Axis Computed — Line Chart. X is 'Order Date', summarized by month. Y is 'Sales' — Y Line chart of Sales, grouped by bucket("Order Date", 'M'), with 1 computed expression column.
Y Line - Datetime Axis — Line Chart with 4 lines. X is 'Order Date' from January 2014 to December 2017. Y is 'Sales'. Each line is for each year. — Y Line chart of Sales, grouped by bucket("Order Date", 'M'), split by bucket("Order Date", 'Y'), with 2 computed expression columns.
Y Line - Datetime Axis And Split By — Line Chart with 4 lines. X is Order Date, Y is Sales, and the lines track different regions. — Y Line chart of Sales, grouped by bucket("Order Date", 'M'), split by Region, with 1 computed expression column.
Y Line - Category Axis — Line Chart. X is State and Y is Sales. — Y Line chart of Sales, grouped by State.
Y Line - Category Axis — Line Chart. X is State and Y is Sales. Sorted descending. — Y Line chart of Sales, grouped by State, sorted by Sales.
Y Line - Row and Split By — Line chart with 3 lines. X is State, Y is Sales, and each line tracks a customer segment. States are sorted descending by total sales. — Y Line chart of Sales, grouped by State, split by Segment, sorted by Sales.
Y Line - Multi Axis Split — Line chart with 2 lines. X is State, Y is Profit, and second Y is Sales. States are sorted descending by Sales. — Y Line chart of Sales and Profit, grouped by State, sorted by Sales.
Y Line - Multi Axis Split — Line chart with 2 lines. X is State, Y is Profit, second Y is Sales, and each line is profit/sales for each customer segment. States are sorted descending by total Sales. — Y Line chart of Sales and Profit, grouped by State, split by Segment, sorted by Sales.
Y Area - Datetime Axis Computed — Area chart. X is 'Order Date', bucketed by month. Y is Sales. — Y Area chart of Sales, grouped by bucket("Order Date", 'M'), with 1 computed expression column.
Y Area - Datetime Axis — Area chart. X is 'Order Date', bucketed by month. Y is sales. Each year is its own color and area. — Y Area chart of Sales, grouped by bucket("Order Date", 'M'), split by bucket("Order Date", 'Y'), with 2 computed expression columns.
Y Area - Datetime Axis And Split By — Stacked area chart. X is 'Order Date', bucketed by month. Y is sales. Subgroup is Region. — Y Area chart of Sales, grouped by bucket("Order Date", 'M'), split by Region, with 1 computed expression column.
Y Area - Category Axis — Area chart. X is 'State'. Y is Sales. — Y Area chart of Sales, grouped by State.
Y Area - Row and Split By — Stacked area chart. X is 'State'. Y is 'Sales'. Subgroup is customer segment. — Y Area chart of Sales, grouped by State, split by Ship Mode.
Y Area - 2 Group By — Grouped area chart. X is State, grouped by Region. Y is sales. Sorted descending by Sales for each region. — Y Area chart of Sales, grouped by Region and State, sorted by Sales.
Y Area - Row and Split By — Grouped area chart. X is State, grouped by Region. Y is sales. Sorted descending by Sales for each region. Each group is a different color. — Y Area chart of Sales, grouped by Region and State, split by Region, sorted by Sales.
Y Area - Row and Split By 2 — Stacked grouped area chart. X is State, grouped by Region. Y is sales. Subgroup is customer segment. Sorted descending by total sales. — Y Area chart of Sales, grouped by Region and State, split by Ship Mode, sorted by Sales.
X/Y Scatter — Scatter plot. X is Sales. Y is Quantity. — X/Y Scatter chart of Sales and Quantity, grouped by City.
X/Y Scatter - Split By — Grouped Scatter plot. X is Sales. Y is Quantity. Group is Region. — X/Y Scatter chart of Sales and Quantity, grouped by City, split by Region.
X/Y Scatter - Color By Float — Scatter plot. X is Sales. Y is Quantity. Each dot is colored by Profit. — X/Y Scatter chart of Sales, Quantity and Profit, grouped by State, sorted by Profit.
X/Y Scatter - Bubble — Bubble plot. X is Sales. Y is Quantity. Size is Profit. — X/Y Scatter chart of Sales, Quantity and Profit, grouped by Sub-Category.
X/Y Scatter - Bubble — Grouped bubble plot. X is Sales. Y is Quantity. Size is Profit. Group is Product Sub-Category. — X/Y Scatter chart of Sales, Quantity and Profit, grouped by Sub-Category, split by Category.
X/Y Scatter - Bubble — Colored bubble plot. X is Sales. Y is Quantity. Size is Row ID. Color is Profit. — X/Y Scatter chart of Sales, Quantity, Profit and Row ID, grouped by Sub-Category, sorted by Profit.
X/Y Scatter - Category Y Axis — Horizontal Bubble plot. X is State. Y is Profit. Size is Quantity. — X/Y Scatter chart of Profit, State and Quantity, grouped by City.
X/Y Scatter - Category Y Axis And Size And Color — Colored Bubble plot. X is State. Y is product sub-category. Size is Sales. Color is Quantity. — X/Y Scatter chart of State, Sub-Category, Quantity and Sales, grouped by State and Sub-Category.
X/Y Scatter - Label — Labeled scatter plot. X is Sales. Y is Quantity. Each dot is labeled by Sub-Category. — X/Y Scatter chart of Sales and Quantity, grouped by Sub-Category.
X/Y Scatter - Label And Color — Labeled colored scatter plot. X is Sales. Y is Quantity. Color is Profit. Each dot is labeled by State. — X/Y Scatter chart of Sales, Quantity and Profit, grouped by State, sorted by Profit.
X/Y Scatter - Label And Size — Labeled bubble plot. X is Sales. Y is Quantity. Size is Profit. Each bubble is labeled by Sub-Category. — X/Y Scatter chart of Sales, Quantity and Profit, grouped by Sub-Category.
X/Y Line — Line chart with 4 lines. X is Sales. Y is Profit. Each line represents a region. — X/Y Line chart of Sales and Profit, grouped by State, split by Region, sorted by Profit and Sales.
Treemap — Treemap with 1-level hierarchy and 17 tiles. Each tile is a product sub-category, and the tile's size represents sales — Treemap chart of Sales, grouped by Sub-Category.
Treemap - 2 Group By — Treemap with 2-level hierarchies for Category and Sub-Category. Size is Sales. — Treemap chart of Sales, grouped by Category, Sub-Category and Segment.
Treemap - Float Color — Colored treemap with 2-level hierarchies for Category and Sub-Category. Size is Sales. Color is Quantity. — Treemap chart of Sales and Quantity, grouped by Category and Sub-Category, sorted by Quantity.
Treemap - Category Color — Treemap with 2-level hierarchies for Category and Sub-Category, with each Category colored differently. Size is Sales. — Treemap chart of Sales and Category, grouped by Category and Sub-Category.
Treemap - Row And Split By Float Color — Colored treemap with 3-level hierarchies for Region, Category, and Sub-Category. Size is Sales. Color is Quantity. — Treemap chart of Sales and Quantity, grouped by Category and Sub-Category, split by Region, sorted by Quantity.
Treemap - Row And Split By Category Color — Treemap with 3-level hierarchies for Region, Category, and Sub-Category, with each Region colored differently. Size is Sales. — Treemap chart of Sales and Region, grouped by Category and Sub-Category, split by Region.
Treemap - Row And Split By Category Color 2 — Treemap with 3-level hierarchies for Region, Category, and Sub-Category, with each Category colored differently. Size is Sales. — Treemap chart of Sales and Category, grouped by Category and Sub-Category, split by Region.
Treemap - Row And Split By Category Color 2 — Treemap with 3-level hierarchies for Region, Category, and Sub-Category, with each Category colored differently. Size is Sales. — Treemap chart of Sales and State, grouped by State and City.
Sunburst — Sunburst with 1-level hierarchy. Hierarchy is Category. Size is Sales. — Sunburst chart of Sales, grouped by Sub-Category.
Sunburst - 2 Group By — Sunburst with 3-level hierarchy. Hierarchies are Category, Sub-category, and Customer Segment. — Sunburst chart of Sales, grouped by Category, Sub-Category and Segment.
Sunburst - Float Color — Colored sunburst with 2-level hierarchy. Hierarchies are Category and Sub-category. Size is Quantity. Color is Sales. — Sunburst chart of Quantity and Sales, grouped by Category and Sub-Category, sorted by Quantity.
Sunburst - Category Color — Colored sunburst with 2-level hierarchy. Hierarchies are Category and Sub-category. Size is Sales. Color is also Category. — Sunburst chart of Sales and Category, grouped by Category and Sub-Category.
Sunburst - Row And Split By — Grouped sunbursts with 2-level hierarchy. Hierarchies are Category and Sub-category. Size is Sales. Each sunburst is a different region. — Sunburst chart of Sales, grouped by Category and Sub-Category, split by Region.
Sunburst - Row And Split By Float Color — Grouped colored sunbursts with 2-level hierarchy. Hierarchies are Category and Sub-category. Size is Sales. Color is Quantity. Each sunburst is a different region. — Sunburst chart of Sales and Quantity, grouped by Category and Sub-Category, split by Region.
Sunburst - Row And Split By Category Color — Grouped sunbursts with 2-level hierarchy. Hierarchies are Category and Sub-category. Size is Sales. Each sunburst is a different region and color. — Sunburst chart of Sales and Region, grouped by Category and Sub-Category, split by Region.
Sunburst - Row And Split By Category Color 2 — Grouped sunbursts with 2-level hierarchy. Hierarchies are Category and Sub-category. Size is Sales. Each sunburst is a different region, and each category is colored. — Sunburst chart of Sales and Category, grouped by Category and Sub-Category, split by Region.
Heatmap — Heatmap. Columns are Sub-Category. Rows are Region. Color is Profit. — Heatmap chart of Profit, grouped by Sub-Category, split by Region, sorted by Profit and Profit.
Heatmap 2 — Heatmap. Columns are State. Rows are Sub-Category. Color is Profit. — Heatmap chart of Profit, grouped by State, split by Sub-Category, sorted by Profit and Profit.
Heatmap 3 — Heatmaps. Columns are order date, bucketed by month. Rows are Sub-Category. Color is Discount. — Heatmap chart of Discount, grouped by bucket("Order Date", 'M'), split by Sub-Category, sorted by Discount, with 1 computed expression column.
Heatmap 4 — Heatmap. Columns are order date, bucketed by month. Rows are Profit, bucketed by 100. Color is Profit. — Heatmap chart of Profit, grouped by bucket("Order Date", 'M'), split by bucket("Profit", 100), with 2 computed expression columns.