https://github.com/avinashkranjan/basic-data-analysis-and-visualization-in-python

📊 Some of the most important python tools in data science for Data Analysis and Data Visualization.
https://github.com/avinashkranjan/basic-data-analysis-and-visualization-in-python

data-analysis data-science matplotlib matplotlib-pyplot numpy pandas plotly seabourne

Last synced: 21 days ago
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📊 Some of the most important python tools in data science for Data Analysis and Data Visualization.

• Host: GitHub
• URL: https://github.com/avinashkranjan/basic-data-analysis-and-visualization-in-python
• Owner: avinashkranjan
• Created: 2020-09-01T16:54:16.000Z (about 4 years ago)
• Default Branch: master
• Last Pushed: 2020-09-04T08:24:00.000Z (about 4 years ago)
• Last Synced: 2024-10-23T04:44:04.919Z (23 days ago)
• Topics: data-analysis, data-science, matplotlib, matplotlib-pyplot, numpy, pandas, plotly, seabourne
• Language: Jupyter Notebook
• Homepage:
• Size: 1.21 MB
• Stars: 4
• Watchers: 2
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# 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.