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Using Matplotlib to make charts
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Classroom Contents
Learn Python and Data Science in Just an Hour
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- 1 Getting started with Visual Studio Code and Anaconda
- 2 Installing Jupyter Notebooks and Python
- 3 Creating a Jupyter Notebook
- 4 Working with data
- 5 Introduction to Pandas
- 6 Working with Data Frames
- 7 Read a CSV file into a Pandas Data Frame
- 8 Remove Null values in data
- 9 Adding a column to a Data Frame
- 10 Grouping data using 'groupby'
- 11 Creating charts from data
- 12 Rainbow CSV
- 13 Using Matplotlib to make charts
- 14 Customizing charts with Matplotlib
- 15 Creating a pie chart with Matplotlib
- 16 Creating a chart directly from Data Frame
- 17 Data Science, Samples, and Distributions
- 18 Creating a histogram with Matplotlib
- 19 Central Tendencies, Mean, Median, and Mode
- 20 Creating a boxplot with Matplotlib
- 21 Visualizing probability density with Matplotlib
- 22 Creating a Jupyter Notebook
- 23 Statistical Outliers
- 24 Variance, Range, and Standard Deviation
- 25 68% Rule
- 26 Analyzing box plots
- 27 Normalizing ranges
- 28 Calculating Correlation value
- 29 Using regression lines
- 30 Least squares regression
- 31 Things are getting interesting
- 32 Thank you for learning with us!
