🐼 Pandas DataFrame Tutorial: Data Cleaning and Analysis 💡
🐼 Mastering Pandas DataFrame - Data Analysis Made Easy 📊
Data file Link: https://github.com/Ankith-H-Poojary/Python_Pandas_Learning/blob/main/ForbesAmericasTopColleges2019.csv
Jupyter NoteBook: https://github.com/Ankith-H-Poojary/Python_Pandas_Learning/blob/main/Pandas%20DataFrame%20.ipynb
In this comprehensive tutorial, you'll dive into the world of data manipulation and analysis with Pandas DataFrame. 📈 Whether you're a data science enthusiast, a student, or a professional looking to level up your data skills, this video has got you covered!
📁 Here's what you'll learn in this video:
1️⃣ How to read a file from storage: We'll start with the basics, showing you how to load data into Pandas.
2️⃣ How to do basic data exploration: Learn essential exploration techniques to understand your dataset better.
3️⃣ How to find null values: Detect and handle missing data like a pro.
4️⃣ How to drop columns: Say goodbye to unnecessary columns in your dataset.
5️⃣ How to drop rows: Learn to remove specific rows based on conditions.
6️⃣ How to drop rows with null values: Keep your data clean and meaningful.
7️⃣ How to reset index: Managing index values for better data handling.
8️⃣ How to fill null values with median and mode: Impute missing data using smart strategies.
9️⃣ How to get statistical summary: Get insights into your data's central tendencies.
📊 But wait, there's more! We'll also cover:
10️⃣ How to add more information to the statistical summary: Enhance your summary with additional insights.
11️⃣ How to merge series to the DataFrame based on index: Combine data efficiently for more profound analysis.
12️⃣ How to see the entire data: Ensure you don't miss any vital information within your dataset.
#PandasAnalysis,
#DataManipulation,
#PandasTricks,
#DataFrameOperations,
#DataAnalysisTools,
#DataWrangling,
#PandasFunctions,
#DataExploration,
#StatisticalAnalysis,
#PandasTutorials,
#DataCleaning,
#DataVisualization
Видео 🐼 Pandas DataFrame Tutorial: Data Cleaning and Analysis 💡 канала Learn with Ankith
Data file Link: https://github.com/Ankith-H-Poojary/Python_Pandas_Learning/blob/main/ForbesAmericasTopColleges2019.csv
Jupyter NoteBook: https://github.com/Ankith-H-Poojary/Python_Pandas_Learning/blob/main/Pandas%20DataFrame%20.ipynb
In this comprehensive tutorial, you'll dive into the world of data manipulation and analysis with Pandas DataFrame. 📈 Whether you're a data science enthusiast, a student, or a professional looking to level up your data skills, this video has got you covered!
📁 Here's what you'll learn in this video:
1️⃣ How to read a file from storage: We'll start with the basics, showing you how to load data into Pandas.
2️⃣ How to do basic data exploration: Learn essential exploration techniques to understand your dataset better.
3️⃣ How to find null values: Detect and handle missing data like a pro.
4️⃣ How to drop columns: Say goodbye to unnecessary columns in your dataset.
5️⃣ How to drop rows: Learn to remove specific rows based on conditions.
6️⃣ How to drop rows with null values: Keep your data clean and meaningful.
7️⃣ How to reset index: Managing index values for better data handling.
8️⃣ How to fill null values with median and mode: Impute missing data using smart strategies.
9️⃣ How to get statistical summary: Get insights into your data's central tendencies.
📊 But wait, there's more! We'll also cover:
10️⃣ How to add more information to the statistical summary: Enhance your summary with additional insights.
11️⃣ How to merge series to the DataFrame based on index: Combine data efficiently for more profound analysis.
12️⃣ How to see the entire data: Ensure you don't miss any vital information within your dataset.
#PandasAnalysis,
#DataManipulation,
#PandasTricks,
#DataFrameOperations,
#DataAnalysisTools,
#DataWrangling,
#PandasFunctions,
#DataExploration,
#StatisticalAnalysis,
#PandasTutorials,
#DataCleaning,
#DataVisualization
Видео 🐼 Pandas DataFrame Tutorial: Data Cleaning and Analysis 💡 канала Learn with Ankith
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24 октября 2023 г. 15:26:47
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