Instgram data analysis

I recently completed a full Instagram Data Analysis project to understand what truly drives reach, engagement, and follower growth ??

The goal was to break down how posts perform and discover the factors that have the biggest impact on visibility and conversions.

I analyzed engagement behavior, reach sources, hashtags, caption structure, and follower conversion patterns.

? Key Objectives

Analyze overall Engagement Rate for each post

Identify top Reach Sources (Home – Hashtags – Explore – Other)

Measure Follower Conversion Rate

Study impact of hashtags, saves, shares, comments, and caption length

Visualize patterns using heatmaps, scatter plots, and word clouds

? What I Did in the Project

✔ Calculated Engagement Rate (Likes + Comments + Shares + Saves)

✔ Found that Saves & Shares have the strongest impact on follower growth ?

✔ Analyzed reach sources:

? Home → 50.96%

? Hashtags → 31.81%

? Explore → 12.29%

? Other → 2.97%

✔ Built a Correlation Heatmap to explore relationships between metrics

✔ Created Word Clouds for captions and hashtags to reveal key themes ☁️

✔ Identified posts with higher-than-expected conversion rates ?✨

? Tools & Technologies Used:

? Python

? Pandas – NumPy

? Matplotlib – Plotly – Seaborn

? Data Cleaning & Preprocessing

? Statistical Analysis & Feature Engineering