1, Excel: Traditional spreadsheet software, with some basic data visualization functions, is suitable for simple charts and graphs.
2.Tableau: provides powerful data visualization and analysis functions, supports the creation of interactive dashboards, and can connect various data sources.
3.Microsoft Power BI:Microsoft's business intelligence tools have rich chart and dashboard options, which can be used to create interactive data visualization.
4.Google Data Studio: a free cloud tool, suitable for creating customized dashboards and reports, and supporting multiple data sources.
5.Plotly:Python and R chart libraries support the creation of interactive and dynamic data visualization, which can be used for online and offline projects.
Advantages of data visualization analysis
1, data visualization improves the effect of information transmission. Through the intuitive display of charts and graphs, complex data becomes easier to understand, enabling people to quickly grasp the key information in the data and reducing the difficulty of information understanding.
2. Data visualization helps to find patterns and trends. By displaying data graphically, it is easier for people to find the correlation, laws and trends between data and help decision makers make more accurate judgments and predictions.
3. Data visualization promotes data-driven decision-making. Through visualization tools, decision makers can understand the business situation more intuitively, make wise strategic decisions based on data, and improve the scientificity and accuracy of decisions.
4. Data visualization helps to tell stories. Through the combination of charts and graphs, people can tell the story behind the data more vividly, make the data more convincing and attractive, and help convey information to various audiences.