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Statistical Visualization Mastery

Visualize statistics, unlock insights, drive decisions!

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Statistical Visualization Mastery

4 Modules

Course Curriculum

4 Modules · 11 Chapters · 11 Topics · 82 Sub-topics

Introduction to Matplotlib

1 Topics

Introduction to Matplotlib

5 Sub-topics

What is Matplotlib and Why Use It

Installing Matplotlib and Verifying Setup

Understanding Pyplot vs Object-Oriented Interface

Your First Plot - Hello Matplotlib

Jupyter Notebook Integration and Magic Commands

Basic Plotting Fundamentals

1 Topics

Basic Plotting Fundamentals

6 Sub-topics

Understanding plot() Function Basics

Creating Simple Line Plots

Plotting Multiple Lines on One Graph

Setting X and Y Axis Data

Understanding Matplotlib's State Machine

Quick Styling with Format Strings

Histograms and Distributions

1 Topics

Histograms and Distributions

7 Sub-topics

Creating Basic Histograms

Controlling Bin Number and Width

Histogram Customization and Styling

Multiple Histograms with Transparency

Cumulative Histograms

2D Histograms

Density Plots and KDE Overlays

Box Plots and Violin Plots

1 Topics

Box Plots and Violin Plots

7 Sub-topics

Creating Box Plots

Understanding Box Plot Components

Horizontal Box Plots

Multiple Box Plots for Comparison

Customizing Box Plot Appearance

Violin Plots Basics

Box Plots vs Violin Plots

Scatter Plots

1 Topics

Scatter Plots

7 Sub-topics

Creating Basic Scatter Plots

Marker Size Variation by Data

Color Mapping by Data Values

Adding Color Bars

Marker Transparency and Overlapping Data

Scatter Plot with Different Marker Types

Bubble Charts

Statistical Plots and Analysis

1 Topics

Statistical Plots and Analysis

7 Sub-topics

Regression Lines

Confidence Intervals

Moving Averages

Statistical Annotations

Probability Plots

Quantile Plots

Residual Plots

Heatmaps and 2D Representations

1 Topics

Heatmaps and 2D Representations

8 Sub-topics

Creating Heatmaps with imshow()

Creating Heatmaps with pcolor() and pcolormesh()

Adding Color Bars and Labels

Custom Color Maps

Interpolation Methods

Contour Plots

Filled Contour Plots

Contour Labels and Customization

Advanced Plot Types

1 Topics

Advanced Plot Types

9 Sub-topics

Stream Plots

Quiver Plots (Vector Fields)

Polar Plots

Radar Charts (Spider Plots)

Stem Plots

Step Plots

Fill Between and Fill Betweenx

Error Bands

Broken Axis Plots

Subplots and Multiple Plots

1 Topics

Subplots and Multiple Plots

8 Sub-topics

Creating Subplots with plt.subplots()

Creating Subplots with plt.subplot()

Unequal Subplot Sizes with GridSpec

Nested Subplots

Sharing Axes Between Subplots

Tight Layout and Spacing

Subplot Labels and Titles

Creating Inset Plots

Working with Colors and Colormaps

1 Topics

Working with Colors and Colormaps

9 Sub-topics

Color Specification Methods

Named Colors and Color Codes

Built-in Colormaps Overview

Sequential Colormaps

Diverging Colormaps

Qualitative Colormaps

Creating Custom Colormaps

Color Normalization

Colorblind-Friendly Palettes

Customizing Plot Appearance

1 Topics

Customizing Plot Appearance

9 Sub-topics

Setting Plot Titles

Axis Labels and Font Properties

Tick Customization - Location and Labels

Tick Formatting - Numbers and Dates

Axis Limits and Ranges

Axis Scales - Linear, Log, Symlog

Spine Customization

Removing Spines and Ticks

Plot Styles and Style Sheets

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Statistical Visualization Mastery

Certificate of Completion

Course Curriculum

Student Reviews

Frequently Asked Questions

Start Your Journey Today

Statistical Visualization Mastery

Certificate of Completion

Course Curriculum

Student Reviews

Frequently Asked Questions

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