4. Visualize your results

Bring that data to life.
There are few ways to visualize your data in Count, depending on what you need:

1. For fast, column-level visuals - use the data bar

If you want to:
  • see the distribution of a column
  • remind yourself which dates your dataset contains
  • or see the most common values in a column
you can drag in column-level visuals from the data menu.
For our Spotify example, we'll add a visual to make sure our data is consistent through our selected date range, and maybe even check the distribution of daily streams on the tracks in that time:
Add visuals quickly from the side bar

2. For exploring relationships quickly - use templates

If you want to start comparing two or more variables you can use one of our visual templates. This will help you build the visual you want quickly and easily:
In our Spotify example, let's visualize our top artists:
Templated visuals
You can change the chart template in the Template menu and can select different columns to include in the input bar.
💡 You can also add filters to your visuals from the input bar or the design bar.

3. For fully custom visuals - use the design bar

When you want full control over your visuals, you can look to the design bar. Here you can control nearly every pixel of your visuals, including:
  • type of chart
  • adding layers and subplots
  • axis formatting
  • colors, styles
  • data labels
  • pivoting, etc
For our Spotify data we'll create a simple bar chart to visualize our top artists.
💡 To learn more about building custom visuals, check out our Custom Visual Guide.