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In your [performance tips](
https://render.githubusercontent.com/view/ipynb?commit=32a08895be41fc20c9f8c9da408909aa404f806c&enc_url=68747470733a2f2f7261772e67697468756275736572636f6e74656e742e636f6d2…
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**Description of the desired feature**
Being able to grid XYC categorical data (where C is the categorical feature) would be very useful.
I can think of at least two use cases:
1. LABELED DAT…
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For categorical data, such as chemotherapy agents, histology, stage/grade, etc, the features plot should show presence/absence of the given element using colored indicators. For example, the plot bel…
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The `str.cat`-accessor works for Series and Index, and returns an object of the corresponding type:
```
s = pd.Series(['a', 'b', 'a'])
t = pd.Index(['a', 'b', 'a'])
## all of the following retur…
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### Bug report
**Bug summary**
**Code for reproduction**
```python
from matplotlib import pyplot as plt
fig, axs = plt.subplots(2)
axs[0].bar("thing", 1, data={"thing": 1})
…
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I am working on a heart disease dataset which has continuous variable as a treatment (thalach) and outcome categorical(target).There is another variable that the treatment affects (exang) which is cat…
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great code (as what you doing )
"An important feature is that dummy variables are handled properly, so that for instance powers of a dummy variable do not exist as duplicates of the original."
j…
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We would like to summarize data using descriptive statistics in the meta for a data file. The basic idea is that we have quantative and categorical data that can be summarized. For context:
Quant…
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Categorical variables must be scaled by `sqrt(0.5)` per the docs in `kbal`. This fix would be as simple as passing in `mixed_data=TRUE` and `cat_columns=...` for categorical variables. This could ea…
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The output draw method uses categorical as one of the dimensions
Sorting:
* alhanumerical
* user defined
Sorting for 1D:
- sort based on the frequency
- increasing, decreasing