Matplotlib Full Course in 2 Hours | Scatter | Bar | Line | Pie | Histogram | Stack | Box Plot

Dataset & Notes : https://consoleflare-1.gitbook.io/data-analytics-and-data-science-assignments/python-for-data-analytics/2.-data-analytics/16.-matplotlib-for-data-visualization
Timestamp

Introduction to Matplotlib and Installation (0:00-1:05)
Overview of Matplotlib Chart Types (1:06-1:37)
Simple Line Chart Example (Months & Sales) (1:38-4:46)
Introduction to Scatter Plot (4:47-6:14)
Creating a Scatter Plot (Months & Sales) (6:15-7:16)
Customizing Scatter Plot (Colors, Title, Labels, Grid) (7:17-10:00)
Multiple Values in Scatter Plot (iPhone & Samsung Sales) (10:01-13:28)
Scatter Plot for Negative Relationship (Temperature & Tea Sales) (13:29-16:05)
Scatter Plot for Mixed Relationships (Temperature, Tea & Ice Cream Sales) (16:06-18:27)
Scatter Plot with Adidas Sales Dataset (Units Sold & Total) (18:28-24:59)
Scatter Plot with Sleep Health & Lifestyle Dataset (Sleep Duration & Quality of Sleep) (25:00-29:11)
Scatter Plot for Multiple Y-Values (Sleep Duration, Quality of Sleep & Stress Level) (29:12-31:59)
Introduction to Line Chart (32:00-32:45)
Creating a Line Chart (Months & iPhone Sales) (32:46-34:18)
Multiple Values in Line Chart (iPhone & Samsung Sales) (34:19-35:40)
Line Chart with Adidas Sales Dataset (Monthly Sales Trend) (35:41-41:06)
Customizing Line Chart (Figure Size, X-axis Ticks, Month Labels) (41:07-45:07)
Introduction to Bar Chart and its use for Categorical Data (45:08-47:00)
Customizing Bar Chart (Colors, Title, Labels) (47:01-47:32)
Creating Multiple Bar Charts (iPhone & Samsung Sales by City) (47:33-49:22)
Bar Chart with Adidas Sales Dataset (Sales by Retailer) (49:23-53:11)
Horizontal Bar Charts (53:12-55:25)
Introduction to Pie Chart (55:26-56:32)
Creating a Pie Chart (Gender Distribution) (56:33-58:53)
Pie Chart Customization (Explode, Autopct, Shadow, Start Angle) (58:54-1:01:21)
Pie Chart with Sleep Health Data (BMI Category Distribution) (1:01:22-1:04:14)
Introduction to Histogram (1:04:15-1:05:46)
Creating a Histogram (Age Distribution) (1:05:47-1:08:44)
Histogram Customization (Bins, Color, Edgecolor) (1:08:45-1:10:04)
Histograms for Skewness (Left-Skewed, Right-Skewed, Normal Distribution) (1:10:05-1:15:23)
Histogram with Adidas Sales Data (Price Per Unit Distribution) (1:15:24-1:17:41)
Histogram with Sleep Health Data (Sleep Duration Distribution) (1:17:42-1:20:00)
Introduction to Stack Plot (1:20:01-1:21:40)
Creating a Stack Plot (Daily Productivity) (1:21:41-1:24:28)
Stack Plot with Adidas Sales Data (Sales Method Contribution) (1:24:29-1:29:43)
Introduction to Box Plot (1:29:44-1:32:00)
Creating a Box Plot (Sample Data) (1:32:01-1:33:14)
Box Plot to Identify Outliers (1:33:15-1:35:46)
Box Plot with Sleep Health Data (Sleep Duration by Gender) (1:35:47-1:39:56)
Conclusion (1:39:57-1:40:40)

Matplotlib Full Tutorial | Data Visualization in Python (Beginner to Advanced)

In this video, you’ll learn Matplotlib from scratch and understand how to create powerful data visualizations using real-world datasets.

This tutorial is beginner-friendly and also useful for Data Analysts, Data Scientists, and Python learners who want to visualize data properly and extract insights.

🔥 What You’ll Learn in This Video

✅ What is Matplotlib and why it’s used
✅ How to install Matplotlib
✅ Line Charts (Trend analysis over time)
✅ Scatter Plots (Finding relationships & correlations)
✅ Bar Charts (Category comparisons)
✅ Pie Charts (Percentage & contribution analysis)
✅ Histograms (Data distribution & skewness)
✅ Stack Plots (Cumulative trends)
✅ Box Plots (Outliers & spread analysis)

📁 Real-World Datasets Used

✔ Adidas US Sales Dataset
✔ Sleep Health & Lifestyle Dataset
✔ Sales, Temperature vs Demand, Age Distribution examples

You’ll learn how to:

Identify positive & negative relationships

Understand seasonal trends

Detect outliers

Analyze normal, left-skewed & right-skewed distributions

Convert raw data into business insights

🧠 Who Should Watch This?

✔ Data Analyst Aspirants
✔ Data Science Beginners
✔ Python Learners
✔ Working Professionals
✔ Students preparing for interviews
✔ Anyone learning Data Visualization

Видео Matplotlib Full Course in 2 Hours | Scatter | Bar | Line | Pie | Histogram | Stack | Box Plot канала Console Flare