5. Plotly

  1. Select Plotly in the Visualization category.

  1. Import Package: Install the necessary packages(Plotly) for code execution.

  2. Import Library: Import the libraries required for code execution.

  3. Preview: Preview the chart that will be generated.

  4. Code View: Preview the code that will be generated.

  5. Run: Execute the code.


Data

Info

Code


Data

  1. Chart Type: Select the type of chart.

  2. Data: Choose the data to be represented in the chart. You can also select a specific column of a DataFrame through the Funnel Icon. Set X and Y Individually allows selecting data from different DataFrames.

  3. Axis Value: Select the data to be used on each axis.

Values (Pie Chart): Choose the data to represent the size of each section in a Pie Chart.

Names (Pie Chart): Choose the data to represent the names of each section in a Pie Chart.

Parents (Sunburst): The Sunburst chart represents hierarchical data in a circular form. Select the data indicating which parent section each segment belongs to.

  1. Color: Enable the use of color and choose the color of the graph.

  2. Sort: Specify the order of categories on the X-axis. Descending arranges columns from the highest to the lowest amount of data.

  3. User Option: Optionally provide additional desired options.


Info

  1. Title: Specify the title of the chart.

  2. Label: Specify the names of each axis.


Code

  1. Additional code beyond the functionalities provided by Visual Python can be added.

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