What is the difference between data dialysis table and general visualization table?

Is an excellent data visualization chart just listing and summarizing data? Of course not! The real value of data visualization is to design a data display that readers can easily understand. Therefore, in the design process, every choice should ultimately be based on the reader's experience, not the individual chartist.

Today, DataHunter Xiao Yuan summed up 30 techniques of data visualization. By enumerating some common mistakes that are easily overlooked, you can finally improve and consolidate your visual production level quickly.

First of all, you must pay attention to chart making skills.

The baseline of the 1. bar chart must start from zero.

The principle of bar graph is to compare numerical values by comparing the length of bars. When the baseline changes, the visual effect is distorted.

2. Use simple and easy-to-read fonts

Sometimes, typesetting can enhance the visual effect and add extra emotion and insight. But it does not include data visualization. Stick to a simple sans-serif font (usually the default font in programs such as Excel). A sans serif font is a font with no feet at the edge of the text.

3. The width of the bar graph is moderate

The interval between bars should be 1/2 column width.

4. Use 2D graphics

Although they look cool, 3d shapes distort perception and thus data. Adhere to two dimensions to ensure accurate data.

5. Use tabular digital fonts

Table spacing makes all numbers have the same width, so that they can be aligned with each other when arranged, which is more convenient. Most popular fonts have built-in tables. Not sure if the font is correct? Just look at whether the decimal point (or any number) is aligned.

6. Sense of unity

A sense of unity makes it easier for us to accept information: colors, images, styles and sources. ...

7. Don't be too keen on pie charts.

Displays the proportion of multiple blocks, and the sum of all blocks (arcs) is equal to 100%. But it is best to avoid using this chart, because the naked eye is not sensitive to the size of the area.

8. Use coherent lines in line charts.

Dotted line, dotted line is easy to distract attention. On the contrary, it is easy to distinguish the difference between the two with solid lines and colors.