From the determination of indicators, layout design, chart types to dynamic effects, this post will share with you the specific steps to make a sales dashboard.
Category: Data Visualization
An easy way from data extraction to data visualization, come and get it now!
Map visualization is used to analyze and display the geographically related data and present it in the form of maps. This kind of data expression is clearer and more intuitive. So come to learn the top 10 map types in data visualization, which can help you mine deeper information and make better decisions.
Data visualization helps us understand data more easily. This post covers the top 16 types of chart in data visualization and their application scenarios, helping users quickly select the type of chart that shows the characteristics of their data.
Here is the impressive visualization guide for choosing the right data visualization types from the top 7 most commonly used charts and design it for your data visualization: bar chart, pie chart, line chart, area chart, scatter plort, bubble chart, heat map.
In the field of business intelligence, a business dashboard is like a car dashboard. It displays various indicators through common charts such as speedometers, volume columns, early warning radars and radar balls, to reflect the running status of the enterprise in real time, thus helping managers make scientific decisions.
In short, data visualization is presenting structured or unstructured data graphically to present information hidden in the data directly to people.
Data maps are very intuitive and visual expressions in the process of business analysis. You can use maps to show sales and profits in various regions, or to display the distribution of warehouses all over the country to optimize transportation networks. As a professional application, the data map has a wide range of analytical uses.
This post covers 25 practical chart effects that can help you make advanced visualizations!
For data analysts, visualization is always a timeless study because it reveals to us the laws behind the data. This article is a guide to data visualization design. With good tools and right methods, beginners can also make cool visualizations.
Which data visualization tool do you recommend? That’s a tricky question to answer. In this article I will compare 14 best data visualization tools for you.