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Basic-Data-Analysis-and-Visualization

Here are some of the most important python tools for data science, Python in conjunction with scientific computing and graphing libraries to analyze data and make presentable data visualizations.

Brief Overview

Data-Analysis Libraries

  • Numpy

Help in creating and manipulating arrays. It is one of the core python package.

  • Pandas

Helps in reading from files and structure with series and data frames.

Data-Visualization Libraries

  • Matplotlib

Helps in creating various types of charts

  • Seaborn

Helps in customizing them to be more attractive and modern looking.

  • Plotly

Helps in taking our charts to the next level by making them interactive.

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๐Ÿ“Š Some of the most important python tools in data science for Data Analysis and Data Visualization.

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