How to use data to tell a wonderful story?

• What is data narrative

Definition of data story telling ： Transform data information analysis into a widely accessible form of data visualization , Through the use of visual tools to visualize and analyze data, the process of influencing various business decisions, strategies and actions of enterprises . Data storytelling has many advantages to promote business development .

Data narration can effectively convey the information plot and the intimacy of narration , Visualize with the right data , Organize data into logic , And simplify the complicated data information , Use simpler visual narration to attract the target audience .

• How to tell stories with data

How to use data to create attractive 、 A lot of information 、 A compelling story , So as to achieve the purpose of effective communication , And how to fit the chart , How to eliminate clutter , How to focus the audience's attention , How to think like a designer , Turn the data into a wonderful story . And explain it together with case study .

1. Establish a clear audience

In the production Data visualization Before , Clearly know who your audience data is ？ You need them to know or do something ？ We use it 《 Contemporary parents' International Children's Day 》 As an example , It is clear that the data audience is ： children 、 Parents . Want them to know , Children's Day is coming , And the data related to children's day and children's day of parents' childhood . The determination of audience users can be Visual narration Framework , It establishes the basis of data presentation effect and Visual narrative The need for .

1. Select a valid chart

Presentation of data , What is the best way to show ？ There are many types of data visualization charts ： Broken line diagram 、 Histogram 、 Sort chart 、 Mind mapping 、 Radar map 、 Heat map 、 Box picture 、 Waterfall Plot 、 Maps, etc , What kind of data is suitable for each chart and what kind of scenario is suitable for ？

With 《 What is the trend of house prices in recent years 》 As an example . The housing price data of each provincial capital includes all provinces and cities in the country , It is best to use the map of China ; near 10 Ranking of annual house prices , The data spans the time dimension of ten years , Use dynamic data sorting diagram to show the best . Choose the chart with the right data , Is the best way to display data visualization .

 

1. The large screen design should focus on the line of sight and avoid clutter

Clutter is your enemy , Data visualization screen The most taboo is disorder . When a blank page or screen , The audience's energy is occupied by the disordered charts . At this point, the meaning that the large screen wants to convey needs to spend more attention to try to identify , It also takes up extra brain power .

How to design a large screen , We need to think like designers , Strategically establish a graphical hierarchy , Help guide the audience to understand the information in the desired order .

With 《 Logistics service monitoring platform 》 As an example , Visually, it is simple without losing its level , The large screen highlights the size of the chart 、 Color 、 Location and other attributes , And guide the audience to pay attention to what the designer expects from these attributes . Orders of each warehouse , Position in the middle and highlight the size , The vision tells us that this is the key data of the large screen .

 

• Choose the right data visualization tool

Choose a good one Visualization tools , It is the basis for data to tell a good story . There are many visualization tools in the domestic market , How to choose is particularly important .

First of all, the data chart should be rich , The more the better , The greater the range of options ; The second is operability , The simpler, the better , It is best to Zero code configuration ; Last but not least , free ！ No charge for use . These points of this platform are consistent with , Friends who have visual needs can try it out .

• Conclusion

Data visualization It is the crystallization of science and art , It has a scientific side , We can follow the data to find the rules , There is also an artistic side , Present data with visible beauty , Use artistic thinking to simplify the process of audience understanding information .