Outlier data is preventing us from seeing the shape of our data set. You need to quickly mask over outliers.
- [Instructor] The financial data that we've used up to…this point in this section is usually considered…time series data.…Time series data is simply sequential data that usually…includes a date or timestamp.…Scatter plots don't have to be tied to sequential data.…So in this video what I would like to do is try to…develop an understanding of the share price of a stock…and how much that stock is traded in terms of volume.…So we're going to be comparing the stock price to the…volume traded with a relatively simple plot.…
You're going to see very quickly that this plot is…insufficient to meet our needs of understanding the plot.…So we're going to be comparing that stock price with the…log of the volume traded.…Now what I would like to do to end the video is to…perform this analysis on Apple, Google, and Microsoft.…I am back in my virtual machine.…I am looking at my stock analysis.…We only have the adjusted close values for…Apple, Microsoft and Google…and what we need now is simply to get the raw data…or the volume.…
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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