RELATÓRIO TÉCNICO: GRÁFICOS COM PHYTON NO POWER BI

Abstract

Charts are an efficient way to visualize data and gain insights from it. Power BI is a powerful tool for data analysis that allows you to create interactive dashboards and reports with different types of charts. Python is a popular programming language for analyzing data and visualizing graphs. Power BI has the ability to integrate Python to create custom and advanced visualizations. To use Python in Power BI, you need to install the Python package in Power BI Desktop. Once installed, you can create a Python script to generate custom views. The Python script can be integrated with Power BI to create an interactive visualization. There are several Python data visualization libraries that can be used in Power BI, such as Matplotlib, Plotly, and Bokeh. These libraries offer a wide range of charts such as bar charts, line charts, scatter charts, maps, and more. In addition, Python also offers advanced data visualization features such as network graphs and 3D visualizations. These chart types can be used in Power BI to create custom and advanced visualizations. In summary, Python has powerful tools for data visualization and can be integrated with Power BI to create custom and advanced visualizations. Python data visualization libraries offer a wide range of charts that can be used in Power BI to create interactive and informative visualizations.