You need to visualize data.
- [Instructor] So section four is all about visualizations.…In this section, we're going to be taking a look at…installing the gnuplot command line tool…and the EasyPlot library,…and we're going to be plotting our first visualization.…We're going to be customizing that visualization…to make it publication ready,…and we're going to add multiple plots…to a single visualization.…Along the way, we're going to be discussing the importance…of the moving average.…And we're going to be discussing the importance…of feature rescaling.…Video 4.1 in this series will focus on introduction…to EasyPlot, so we're going to be installing…the gnuplot command line tool…and the EasyPlot Haskell library.…
EasyPlot is just a Haskell grapher for gnuplot.…It allows us to interact with the gnu plotting utility…from within Haskell and our iHaskell environment.…We need data and for that,…we're going to be pulling data from Yahoo Finance.…I like Yahoo Finance because I can obtain…the full history of any publicly traded company…and in this video, we're going to end with our first plot.…
Note: This course was created by Packt Publishing. We are pleased to host this training in our library.
- Data ranges, means, and medians
- Standard deviation
- SQLite3 command line
- Slices of data
- Regular expressions
- Atoms and modifiers
- Character classes
- Line plots of a single variable
- Plotting a moving average
- Feature scaling
- Scatter plots
- Normal distribution
- Kernel density estimation (KDE)
Skill Level Intermediate
NumPy Data Science Essential Trainingwith Charles Kelly3h 54m Intermediate
SQL: Data Reporting and Analysiswith Emma Saunders2h 16m Intermediate
1. Descriptive Statistics
3. Regular Expressions
5. Kernel Density Estimation
6. Course Review
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