Post🚀 𝗧𝗼𝗽 𝟮𝟬 𝗣𝘆𝘁𝗵𝗼𝗻/𝗣𝗮𝗻𝗱𝗮𝘀 𝗙𝘂𝗻𝗰𝘁𝗶𝗼𝗻𝘀 𝗙𝗼𝗿 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘀𝘁𝘀

🚀 𝗧𝗼𝗽 𝟮𝟬 𝗣𝘆𝘁𝗵𝗼𝗻/𝗣𝗮𝗻𝗱𝗮𝘀 𝗙𝘂𝗻𝗰𝘁𝗶𝗼𝗻𝘀 𝗙𝗼𝗿 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘀𝘁𝘀 Master these essential functions to clean, transform, analyze, and visualize data more efficiently: 🔹 𝗖𝗹𝗲𝗮𝗻𝗶𝗻𝗴: head() info() describe() dropna() fillna() rename() 🔹 𝗙𝗶𝗹𝘁𝗲𝗿𝗶𝗻𝗴: loc[] iloc[] query() isin() 🔹 𝗔𝗴𝗴𝗿𝗲𝗴𝗮𝘁𝗶𝗼𝗻: groupby() agg() sum() mean() count() 🔹 𝗝𝗼𝗶𝗻𝗶𝗻𝗴: merge() concat() join() 🔹 𝗔𝗻𝗮𝗹𝘆𝘀𝗶𝘀: value_counts() pivot_table() plot() 💡 Don’t just memorize functions—learn when and how to use them to solve real-world data problems. 📊 Master the basics. Analyze faster. Build better insights.