Normality

usage: normality [--export {csv,json,xlsx}] [-h]

Normality tests

To learn more about this subject, visit the Wiki page: https://en.wikipedia.org/wiki/Normality_test

A 2011 study concludes that Shapiro–Wilk has the best power for a given significance, followed closely by Anderson–Darling when comparing the Shapiro–Wilk, Kolmogorov–Smirnov, Lilliefors, and Anderson–Darling tests.

optional arguments:
  --export {csv,json,xlsx}
                        Export dataframe data to csv,json,xlsx file (default: )
  -h, --help            show this help message (default: False)

Example:

2022 Feb 16, 11:11 (✨) /stocks/qa/ $ normality
            Normality Statistics
┏━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━┓
┃                    ┃ Statistic ┃ p-value ┃
┡━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━┩
│ Kurtosis           │ 10.2422   │ 0.0000  │
├────────────────────┼───────────┼─────────┤
│ Skewness           │ -0.2238   │ 0.8229  │
├────────────────────┼───────────┼─────────┤
│ Jarque-Bera        │ 1155.1958 │ 0.0000  │
├────────────────────┼───────────┼─────────┤
│ Shapiro-Wilk       │ 0.9265    │ 0.0000  │
├────────────────────┼───────────┼─────────┤
│ Kolmogorov-Smirnov │ 0.4680    │ 0.0000  │
└────────────────────┴───────────┴─────────┘