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Pre-requisites to Build Report/Chart

• Data source - Data Sources can be physical tables from your database or virtual datasets defined within Superset. (We have defined Data source and cannot be altered)

• Dataset - •Datasets can be created from database tables or Views (called Datasets in Superset) that you want to be exposed in Superset for querying.

• Using Dataset to build Reports/Charts

• Using Reports/Charts to build a Dashboard
  
  Create Report
  

• Select the Appropriate Dataset

• Explore Data Workflow: Utilize the Explore view to interact with your data. Here, you can:

  • View a list of columns and metrics in the Dataset view.

  • Preview data below the chart area.

  • Change visualization types, select columns, and group by metrics using the Data and Customize tabs.

• Customization: Customize your bar chart's appearance by selecting options from drop-down menus. Click the Run button to refresh the visualization with your changes.

• Temporal Column and Metrics: For a time-series bar chart, select the temporal column and the metric to group by. This allows you to visualize data over time, segmented by a specific metric.
  
  Creation of Chart
  To create a basic bar chart in Apache Superset, follow these steps:

• Select Dataset: Navigate to the Datasets tab and click on the dataset you want to use for your chart.

• Choose Visualization: In the Explore view, select 'Bar Chart' as the visualization type.

• Customize Chart: Use the Data and Customize tabs to select the metric for the Y-axis and the category for the X-axis.

• Run Query: Click the Run button to generate the chart.

• Save Chart: Once satisfied with the chart, click Save to add it to a dashboard.
  

  Best Practices for Bar Chart Data Visualization

  When creating bar charts with Apache Superset, consider the following best practices to enhance the clarity and effectiveness of your data visualization:

• Choose the Right Data: Select categorical data that lends itself well to comparison.

• Simplify Your Design: Avoid clutter by minimizing chart junk, such as excessive lines or colors.

• Label Clearly: Ensure all axes, bars, and categories are clearly labeled for easy interpretation.

• Use Consistent Scales: The scales on the axes should be consistent to avoid misleading viewers.

• Color with Purpose: Use color to highlight important data points or group-related categories.

• Sort Data Logically: Sort bars in a meaningful order, such as alphabetically or by value.
  
  
  Example Workflow

• Connect to Data Source:

  • Configure a new database connection in Superset.

• Create a Dataset:

  • Use SQL Lab to write a query and save the results as a reusable dataset.

• Build a Chart:

  • Create a new chart by selecting a dataset and choosing a chart type (e.g., bar chart).

  • Customize the chart with various options (e.g., axis labels, colors).

• Design a Dashboard:

  • Create a new dashboard and add the previously created chart.

  • Arrange charts and add filters to enable interactive data exploration.

• Share and Collaborate:

  • Share the dashboard with team members and stakeholders.

  • Collaborate on data exploration and visualization by commenting and making adjustments as needed.

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