4. Seaborn

  1. Click on Seaborn in the Visualization category.

  1. You can use Settings to set the default style of the graph. For detailed configuration, use Chart Style in the Visualization category.

  2. Chart Preview: You can preview the plot that will be displayed. In Sampling on the top right, you can set the number of samples to use for the preview.

Data

Axes

Info

Style

Code

Data

  1. Chart Type: Select the type of chart.

  2. Data: Select the data you want to graph. To select a specific column, use the funnel icon. To set X and Y separately, check Set X and Y individually.

  3. User Option: You can add additional code beyond the functionality provided by Visual Python.

*The manuals provided below may or may not exist depending on the type of chart.

  1. Hue: Further segment the data based on other columns or data based on the data already selected. Based on the new criteria, the data is displayed in different colors.

  2. Bins: If the data you want to represent in a histogram is continuous, you can divide it into a certain number of bins. It will be displayed as bars divided by the specified intervals.

  3. KDE: Use the Density Plot format to smooth the appearance of the Histogram.

  4. Stat: Select the meaning of each bar in the Histogram, for example, if you select 'Count', the height of each bar will represent the number of data points in that interval.

  5. Orient: Choose the orientation of the graph (Bar Plot).

  6. Annot: Choose whether you want to show data values in each cell of the graph (Heatmap).

Axes

  1. X Limit, Y Limit: Define the range of data to be displayed on the X and Y axis.

  2. X ticks, Y ticks: Set the scale for the X and Y axes.

    1. Specify where the tick marks should appear in the following format [0, 1, 2, 3] -> the scale is drawn at the four locations you specify.

    2. Set the label (letter or number) to be displayed as a scale in the following format ['a', 'b', 'c', 'd'] -> The specified values will be displayed in order on each scale.

  3. Rotation: Rotates the scale by the specified angle. This is useful if you have overlapping text.

Info

  1. Title: Set a title for the graph. The name is placed at the top center of the graph.

  2. Labels: Set the names for the X-axis and Y-axis.

  3. Legend: Set where to display the legend.

Style

  1. Color: You can check Use Color to enable the use of color and select a color for the graph.

  2. Grid: Select whether to use a grid. You can also assign a color.

  3. Marker: Select a style for the marker.

Code

  1. You can add additional code beyond what Visual Python provides.

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