Exploratory Data Analysis (EDA) on Zomato Dataset using Pandas

Github link - github.com/Ank...
I recently did Exploratory Data Analysis (EDA) using python libraries on the Zomato dataset, and the insights were fascinating! Here’s a quick look at what I discovered:⁣
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1️⃣ 𝐓𝐨𝐩 𝐂𝐨𝐮𝐧𝐭𝐫𝐢𝐞𝐬 𝐔𝐬𝐢𝐧𝐠 𝐙𝐨𝐦𝐚𝐭𝐨⁣
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Unsurprisingly, India takes the crown with a massive 94.39% of users. The US and UK follow but are far behind. Zomato clearly knows its home ground!⁣
2️⃣ 𝐓𝐨𝐩 𝐂𝐮𝐢𝐬𝐢𝐧𝐞𝐬 𝐢𝐧 𝐃𝐞𝐦𝐚𝐧𝐝⁣
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No surprises here either-North Indian, Chinese, and Mughlai are dominating. But I loved seeing Bakery and Street Food making a strong appearance too.⁣
3️⃣ 𝐑𝐚𝐭𝐢𝐧𝐠𝐬 𝐃𝐢𝐬𝐭𝐫𝐢𝐛𝐮𝐭𝐢𝐨𝐧⁣
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Most ratings hover between 3.0 and 4.0, which is a good sign for customer satisfaction. A color-coded histogram brought this to life beautifully.⁣
4️⃣ 𝐓𝐨𝐩 𝐂𝐢𝐭𝐢𝐞𝐬 𝐢𝐧 𝐍𝐨𝐫𝐭𝐡 𝐈𝐧𝐝𝐢𝐚 𝐔𝐬𝐢𝐧𝐠 𝐙𝐨𝐦𝐚𝐭𝐨⁣
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New Delhi is leading the charge with almost 69% of users! Gurgaon and Noida are holding their ground too, while Ghaziabad and Faridabad round up the list.⁣
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𝐇𝐨𝐰 𝐈 𝐃𝐢𝐝 𝐈𝐭⁣
I used Python, Pandas, and Seaborn to clean, analyze, and visualize the data. The charts-like pie charts, treemaps, and barplots-made it easy to spot trends and tell the story behind the numbers.⁣
#EDA #DataScience #Zomato #DataVisualization #Python #Analytics #Pandas #seaborn