Create your Own Dashboard

How to Use the Interactive Dashboard

This dashboard allows you to explore data using drag-and-drop functionality—no coding required. Follow the steps below to create your own visualisations from the dataset.

1. Get to Know the Layout

• Fields Panel (Left side): This shows all the data columns available (e.g., Gender, Department, Score).
• Chart Area (Centre): This is where your visualisation appears.
• Drop Zones (Top): These include:
  • Rows / Columns: Set which variables define the chart axes.
  • Color / Size / Shape: Add detail or grouping to your chart.
  • Filters: Narrow down the data based on selected criteria.

2. Create Your Own Chart Drag a variable (e.g., Cats) to x-Axis.

• Drag another variable (e.g., Clicks) to y-Axis.

• A chart will automatically be generated (e.g., bar chart or scatter plot).

• You can change the chart type using the Chart Type menu (above the visualisation).

3. Explore and Experiment

• Apply Filters: Drag variables into the Filters area (e.g., select a date-range).

• Change Aggregation: Click the dropdown next to a variable to choose how it’s summarised (e.g., average, count, sum).

• Add Color or Grouping: Drag a variable like Gender to the Color or Shape area to split results visually.

4. Try Different Views

• Switch between chart types: bar, line, pie, scatter, etc.

• Combine different variables to compare trends, group differences, or distributions.

5. Save or Capture Insights

• The dashboard does not have a “Save” button, but you can:

  • Take screenshots of your charts.

  • Use your findings to guide formal reports or presentations.

#| output: true
GWalkR::gwalkr(df_csv_proc, dark = "dark")