In today's society, data visualization has become a very important skill. With the advent of the era of big data, more and more people have begun to pay attention to data visualization and hope to quickly master this skill. So, how to quickly learn data visualization? Here are some recommendations from AdBright data analysts.
What is Data Visualization?
Data visualization: refers to the process of representing data in large datasets in the form of graphics and images, and using data analysis and development tools to discover unknown information.
With the aid of graphical means, data visualization can clearly and effectively convey and communicate information, and is now widely used in many fields. A typical case is the data visualization of Taobao Double Eleven, which dynamically displays transaction data in real time on a large screen. The data visualization tool used is DataV produced by Alibaba Cloud, which reflects Alibaba’s exploration of data-driven operations. .
A complete data visualization process includes the following steps:
1. Data Collection: Collect the data that needs to be visualized
2. Data cleaning: cleaning and processing the collected data, including checking data consistency, processing invalid and missing values, etc., for subsequent visualization operations
3. Data analysis: Before data visualization, analyze the data in order to determine the information and methods that need to be displayed
4. Visual design: After determining the information and methods to be displayed, carry out visual design, including selecting the appropriate chart type, color, font, etc.
5. Visualization implementation: Use corresponding tools to realize visualization effects, and adjust and optimize the results
The purpose and application of data visualization
The main purpose of data visualization is to clearly convey the meaning of data, help explain trends and statistics, and show real-time data update trends that cannot be seen in previous data analysis text reports.
The use of data visualization can help us strengthen our interpretation and understanding of data information, and it is expressed in the simplest possible chart visualization form, making it easier for us to gain insights from data.
Present the analysis results of the data and reveal the patterns and trends of the data in a visual form, in a pattern that can examine the data, understand the meaning of the data, and explain its highlighting, helping us to free ourselves from the "heavy work" of data analysis, Quickly find meaning and gain useful data insights with visualizations.
Transform the data into an effective visual form (any kind of chart) to make the value of the data more "visible".
In work and life, there are many scenarios where visual charts can be used:
1. General charts, such as background system or front-end personal data statistics, etc.
2. Mobile terminal charts, such as data display of mobile phone storage space
3. Large-screen visualization, such as power industry systems, park management data, etc.
4. Graph Editing and Graph Analysis
5. Geographic visualization, such as maps, terrain, etc.
The path of data visualization learning
1. Learn through professional books/channels
The learning of data visualization still needs to be studied more systematically. You can buy some professional books or online courses for learning, and you can exchange and learn through data analysis forums.
Here are a few professional books recommended: "Data Visualization", "Guide to Better Data Visualization", "Power BI Data Visualization from Getting Started to Practical Combat".
2. Learn to use tools
In the process of making data visualization, tools are very important. Learn to use some commonly used data visualization tools, such as Tableau, Power BI, Excel, etc.
3. Cultivate data sensitivity
Data analysis is done well, data sensitivity is indispensable. Cultivating data sensitivity can help you quickly filter out useful and meaningful data from a large amount of data. Of course, data sensitivity is cultivated through practical observation. If there is no data channel at present, you can practice in some public data, such as statistical information from government departments, data information released by industries, etc.
With the advent of the data age, all kinds of data are growing explosively. How to give full play to the value of data and bring convenience to people's life and work, data visualization can play an important role. The above are some suggestions for you from AdBright, I hope it will be helpful to you.