Create graph – Bar chart visualization guide
Nowadays data visualization is the main topic in the field of Data Science. But even if you try to make a nice presentation or a report, sometimes the message is not delivered well. It is easy to be lost between a lot of numbers, charts and labels. In this article series we would like to share some tips about data visualizationand and give some advice to create graph. So let’s start with Bar charts.
Bar chart is one of the most common type of data visualization. Mainly used to show changes by time, or compare different categories, and part-whole connection. Here you can see four types of bar charts, and the usage fields.
Vertical: Mostly used with timelines
Horizontal: In case of long category names
Stacked bar chart: Part-Whole connection
100% stacked diagram: Test the dispersion
Bar chart Guide
What to avoid when using bar charts? How to make more understandable your data? Here are 5 tips.
Figure 1: To be readable use horizontal labels
Figure 2: The optimal distance between the bars should be 1/2 wide of the bars
Figure 3: Start the scale with “0”
Figure 4: Use only one color*
Figure 5: ABC order, makes easier to find the data
*It is better to avoid stacked bar, because it is hard to understand for the first sight, but if you use it, use different colors.
Create graph summary
- Be readable and use horizontal labels
- Keep the optimal distance between bars (1/2 wide of the bars)
- Start the scale with “0”
- Use only one color *
- ABC order make easier to find the data
Beside all of the written tips above there are more and more rules we need to keep if we want to create correct graphs, but using them you can improve the quality of your bar charts, and your presentation as well.
+1 tipp : Always try to find the best type of bar chart or any graph which fits prefectly of the data and the situation.