Data Cleaning in Python Jupyter Notebook with Stunning Visualizations | Pandas, Plotly.
Discover how to clean and visualize data like a pro with Python in Jupyter Notebook! This step-by-step tutorial covers everything from fixing messy datasets using Pandas to creating vibrant, interactive visualizations with Plotly.
Perfect for beginners and data enthusiasts eager to learn how to handle missing values, remove duplicates, optimize data types, and more—all while exploring engaging bar charts, histograms, and trend lines.
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In this video, I’ll show you how to clean data using Python, Pandas, and Jupyter Notebook. We'll start by loading a CSV file, then tackle common data issues like duplicates and missing values. I'll also guide you through dropping unnecessary data and creating visualizations such as pie charts and bar charts. Plus, we’ll create a new variable to categorize age groups, giving you practical tools for effective data cleaning.
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The dataset used is "customer data on purchases" for a clothing store.
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*===Great Books For Mastering Data Science and Data Cleaning===*
Python For Data Analysis: https://amzn.to/4dQUOaF
Python Data Science HandBook: https://amzn.to/3BV6hsk
Hands On Machine Learning with Scikit-Learn & TensorFlow: https://amzn.to/4h8IxRS
Python Machine Learning by Sebastian Raschka: https://amzn.to/401eIMU
Modern Python Cookbook: updated: https://amzn.to/3BV6sE0
*Timestamp:*
00:00 Intro
00:42 Reviewing the dataset
01:08 Upload the csv dataset to Jupyter Notebook
01:57 Create a new notebook in Jupyter Notebook
02:43 Step 1: Import Libraries using pandas and numpy
04:52 Step 2: Load the dataset
08:23 Review the dataset in Jupyter Notebook.
10:12 Step 3: Inspect the dataset
12:54 Check for null values
14:03 Step 4: Handle missing values
20:24 Step 5: Remove duplicates
24:05 Step 6: Fix datatypes
29:17 Step 7: Detect and handle outliers
34:45 Step 8: Standardize column names
37:31 Step 9: Save the cleaned dataset to a csv file to Jupyter Notebook
40:29 Step 10: Visualize the cleaned dataset with plotly
41:39 Install plotly to use libraries
43:08 Histogram creation using plotly
49:11 Bar Chart creation using plotly
55:25 Line Graph creation using plotly
1:01:17 Thank you for watching. Please consider subscribing.
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