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🔍 5 Quick Sanity Checks Before Data Cleaning in Python 🐍.pandas.#python ,#pandas,#Data Analysy.
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"🔍 5 Quick Sanity Checks Before Data Cleaning in Python 🐍
Before diving into data cleaning, ensure your dataset is ready with these 5 essential sanity checks!
1️⃣ Shape Check: Know the dimensions of your data.
2️⃣ Missing Values: Identify and handle null values.
3️⃣ Data Types: Verify column data types for accuracy.
4️⃣ Statistical Summary: Understand your data's distribution with descriptive stats.
5️⃣ Duplicate Check: Spot and manage duplicate rows.
Master these quick checks to streamline your data cleaning process and avoid surprises later! 🚀
#Python #DataCleaning #DataAnalysis #PythonTips #LearnWithAnkith"
Before diving into data cleaning, ensure your dataset is ready with these 5 essential sanity checks!
1️⃣ Shape Check: Know the dimensions of your data.
2️⃣ Missing Values: Identify and handle null values.
3️⃣ Data Types: Verify column data types for accuracy.
4️⃣ Statistical Summary: Understand your data's distribution with descriptive stats.
5️⃣ Duplicate Check: Spot and manage duplicate rows.
Master these quick checks to streamline your data cleaning process and avoid surprises later! 🚀
#Python #DataCleaning #DataAnalysis #PythonTips #LearnWithAnkith"