You have CSV data that ISN'T comma separated values. Gasp! What do you do?
- [Instructor] Section six will serve as our course review.…In this section we're going to tie together…the first five sections using the MovieLens dataset…from the University of Minnesota.…We're going to cover the highlights from all of the sections…and hopefully drop in some new content along the way.…So in this section we're going to be taking a look…at converting variations of the CSV files into SQLite3.…We're going to be using SQLite3, SELECT queries,…and our DescriptiveStats module for descriptive statistics.…
We're going to be creating more compelling visualizations…using the EasyPlot library,…and then we're going to be trying to answer…a few interesting questions…by applying the kernel density estimator…to our MovieLens dataset.…So video 6.1 is going to be discussing…CSV variations to SQLite3.…CSV file stands for comma separated values.…Perhaps you heard me in section one…about how CSV isn't really a standard,…and it may come as a surprise to you…that comma separated value,…the values do not have to be separated by commas…
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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