📅 最后修改于: 2023-12-03 15:34:05.139000 🧑 作者: Mango
Python is a high-level programming language that is widely used among programmers and data analysts. Its simplicity and versatility have made it a popular language for data manipulation, analysis, and visualization. Tableau, on the other hand, is one of the most popular data visualization tools used by data professionals to create interactive data visualizations and dashboards.
Python has several libraries that make it easier to manipulate, clean, and visualize data. Here are some popular libraries used for data analysis and visualization.
Pandas is a powerful library often used to clean, transform, and analyze data. It provides a fast and easy way to manipulate data in structured formats like CSV, Excel, and SQL. You can use Pandas to manipulate large and complex datasets and perform complex calculations.
Matplotlib is a popular visualization library that provides a powerful way to create static, animated, and interactive visualizations in Python. It offers a wide range of plots, from simple line plots to 3D plots and heatmaps.
Seaborn is a library built on top of Matplotlib. It provides a high-level interface for creating visualizations with more attractive and informative default settings. It also has built-in functions for exploring univariate and multivariate distributions.
Tableau Desktop is a powerful tool for creating interactive dashboards and complex visualizations. Although Tableau has several built-in features and chart types, it cannot perform complex data transformations and calculations. Python can be integrated with Tableau to perform complex data manipulations and calculations before sending the data to Tableau for visualization.
TabPy is a Python package that allows you to execute Python scripts on Tableau. You can use Python scripts to perform complex data transformations and calculations and then create visualizations with Tableau. TabPy can also call external Python libraries like Pandas and NumPy.
Tableau Prep Builder is a data preparation tool that can connect to a wide range of data sources, transform, and clean the data before sending it to Tableau. Tableau Prep Builder also allows you to execute Python scripts to perform complex data manipulations and calculations. You can use Python scripts to clean and reshape the data and then create visualizations with Tableau.
In conclusion, Python and Tableau are powerful tools for data analysis and visualization. Python provides a wide range of libraries for data manipulation and visualization, while Tableau provides a strong platform for creating interactive visualizations and dashboards. Integrating Python with Tableau can help you create more complex and sophisticated visualizations, and perform complex data manipulations before visualizing the data.