Table of contents

• Project overview
• Analysis Questions
• Libraries & Data Visualisation tools

General info

This Case study aimed to analyse a large set of data (280K rows) about Hashtags and users engagement to it.

• Language Used: Python 3.6 | Scope: Period of 2020.

Analysis Questions

• Defining most used Hashtags
• Evaluate Index of twitter users engagement
• Define top influencers for specific hashatg
• Calculating engagement rate

Analysis tools used

To tackle this project, we installed these libraries:

import numpy as np
import pandas as pd
import seaborn as sns 
import matplotlib.pyplot as plt

Future analysis for Text Analysis

from PIL import Image
from wordCloud import wordCloud, STOPWORDS, ImageColorGenerator
import matplotlib.image as mpimg