Plot editor
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- 1 Plot editor function
- 2 Possible source types
- 3 Plot types
- 3.1 Scatter plot
- 3.2 Horizontal boxplot
- 3.3 Vertical boxplot
- 3.4 Bar chart
- 3.5 Heatmap
- 3.6 Pie chart
- 3.7 Line chart
- 3.8 Area chart
- 3.9 Bar chart
- 3.10 Stacked bar chart
- 4 Column types
- 4.1 Numeric
- 4.2 Categorical
- 4.3 Date/Datetime
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Plot editor function
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The user can start the plot editor on the project page with organization admin or organization member access:
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Possible source types
Project metadata
Custom source:
CSV
TSV
Parquet
Plot types
The plot type depends on the selected column types.   Â
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If X column type is numeric:
If Y column is None then the plot is a column, bar, pie, line, or area chart, with counts, possibly colored.
If Y column is numeric then the plot is a scatter plot, possibly colored.
If Y column is categorical then the plot is a horizontal boxplot, possibly colored.
 If X column type is categorical:
If Y column is numeric then the plot is a vertical boxplot, possibly colored.
If Y column is categorical then the plot is a heatmap.
If Color column is None then the heatmap is colored by counts.
If Color column is numeric then the heatmap is colored by col_color.
If Color column is categorical then an error is raised.
If Y column is None then the plot is a column, bar, pie, line, or area chart with counts, possibly colored.  Â
If X column type is date/datetime
If Y column is None then the plot is a column, bar, pie, line, or area chart, with counts, possibly colored.
If Y column is numeric then the plot is a vertical boxplot, possibly colored.
If Y column is categorical then the plot is a heatmap.
If X column type is neither numeric nor categorical nor date/datetime then an error is raised.
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Scatter plot
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Horizontal boxplot
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Vertical boxplot
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Bar chart
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Heatmap
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Pie chart
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Line chart
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Area chart
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Bar chart
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Stacked bar chart
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Column types
The metadata columns will be categorized based on these criteria:
Possible column types:
Numeric
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According to these criteria:
The column can be converted into float
The column has at least 3 unique values
The column has at least 10% of the rows with a value that is not null
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Categorical
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According to these criteria:
The column can be converted into string
The column has less than 20 unique values
The column has at least 2 unique values
The column has at least 10% of the rows with a value that is not null
The column is not a numeric
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Date/Datetime
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According to these criteria:
Dates and datetimes should have the following format: YYYY./-MM./-DD and DD./-MM./-YYYY HH:MM:SS
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