- Python Data Science - Home
- Python Data Science - Getting Started
- Python Data Science - Environment Setup
- Python Data Science - Pandas
- Python Data Science - Numpy
- Python Data Science - SciPy
- Python Data Science - Matplotlib
- Python Data Operations
- Python Data cleansing
- Python Processing CSV Data
- Python Processing JSON Data
- Python Processing XLS Data
- Python Relational databases
- Python NoSQL Databases
- Python Date and Time
- Python Data Wrangling
- Python Data Aggregation
- Python Reading HTML Pages
- Python Processing Unstructured Data
- Python word tokenization
- Python Stemming and Lemmatization
- Python Data Visualization
- Python Chart Properties
- Python Chart Styling
- Python Box Plots
- Python Heat Maps
- Python Scatter Plots
- Python Bubble Charts
- Python 3D Charts
- Python Time Series
- Python Geographical Data
- Python Graph Data
Quiz on Python Data Cleansing Techniques
1. What is data cleansing?
2. Which Python library is commonly used for data cleansing?
3. What function is used to check for missing values in a DataFrame?
4. Which method is used to remove duplicates from a DataFrame?
5. What does the fillna() method do?
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