generated from mwc/lab_scatter
31de3c0502
Overall I think it went well. The only place I got stuck at this checkpoint was with scaling the x and the y coordinates of the points. To be honest, I'm still not 100% sure how that scale function works, even in the context of the overall program. Perhaps it has to do with the description which includes both domain and range, but using a different set of inputs for x values compared to y values. Overall, I think I had a good idea of the steps that were required in checkpoint 1, however I did not break it down into pieces as small as this code ended up doing. An idea for a similar/extension program, would be a program that adds a line of best fit and calculates/displays the equation and correlation coefficient of the regression equation. |
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| .commit_template | ||
| .gitignore | ||
| constants.py | ||
| generate_data.py | ||
| planning_scatter.md | ||
| plotting.py | ||
| poetry.lock | ||
| pyproject.toml | ||
| scatterplot.py | ||
| test_transform.py | ||
| ticks.py | ||
| transform.py | ||