Creating charts from scratch
Farhan Kabir avatar
Written by Farhan Kabir
Updated over a week ago

With Tackle, you can categorize your events by adding tags and properties. Once you have added some tags and properties to your calendar events, the Insights/Report page lets you visualize them with different charts and views. These reports or insights can help validate if your or your team’s time was spent in alignment with priorities.

You can create charts in 2 ways:

  • You can create a chart from scratch or

  • You can create a chart using any of our existing templates.

Let's discuss how you can create a chart from scratch here.

1. Click on the "Analyze" section on your left menu and select "+" icon. This will create a new insights/ reports page.

2. Click on "+ Add chart". You can either create a chart from scratch or use a preset template. Let's select "Add chart from scratch" here.

3. Choose the type of chart you want (e.g. pie chart, bar chart), the measurement (hours or events), and how you want to group your calendar data (by category, subcategory, properties or calendar).

4. Once you're done setting your chart requirements, click on "Add chart".

That's it! That's how you can create a new chart from scratch. Now, let's discuss shortly the different chart types available in Tackle.

1. Pie chart

It displays data as a circular chart, showing proportions of a whole by dividing into slices.

You can further drill down into child tag's data analysis or view events associated with a tag or property by just clicking the relevant section of the pie.

2. Donut chart

It is similar to a pie chart but with a hole in the center, conveying data in ring-shaped segments.

3. Bar chart

This chart uses rectangular bars to represent data with lengths proportional to the values they represent.

4. Column chart

It's similar to a bar chart, presenting data vertically using columns.

5. Area chart

It represents data over time, showcasing trends and magnitudes by filling the area beneath the line.

6. Line chart

It shows data as points connected by straight lines, ideal for displaying trends or changes over time.

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