Top 5 Data Visualization Tools for Data Scientists
matplotlib (Python)
It is a highly customizable library that allows you to modify every detail on your static, interactive, or animated plots
Plotly (Python)
Although Plotly can also create static visualizations, interactive visualizations are its strongest suit.
Streamlit (Python)
A Python framework called Streamlit makes it possible to create interactive data apps with little to no coding. It has numerous Python libraries integrated.
D3.js (JavaScript)
Data-Driven Documents, or D3.js, is a very versatile JavaScript library. It includes everything from basic bar charts to intricate
ggplot2 (R)
A visualization tool for the R programming language, ggplot2 is founded on the "grammar of graphics" method of graph creation.