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Use pair plots on numerical features against target variable state
Also numerical features that have been transformed from categorical features using technique Label Encoding.
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## PHMSA distribution data (1990-present)
PHMSA distribution data explains the extent, safety record, and characteristics of each operator's distribution system by state and commodity group. The fi…
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when the only result within a categorical variable is greater than 30 it should not be defined as Cat, assess when it makes sense for it to be categorised as text or think about how it is defined.
Th…
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Will it work for categorical data?
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I have a use case where I am reading in a table where one of the columns is a date/time string (note that for this specific use cases, things might change after https://github.com/glue-viz/glue/pull/5…
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## Use Case
![image](https://github.com/allen-cell-animated/nucmorph-colorizer/assets/30200665/7d67ffea-7751-4970-8256-1343c60f36af)
When examining categorical data in the scatterplot, the resul…
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Using a dataset created with the following code:
```py
import numpy as np
import qcodes as qc
qc.config.core.db_location = "./test.db"
qc.initialise_database()
exp = qc.load_or_create_experime…
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Currently the scatterplot has severe problems as described in https://github.com/datavisyn/visyn_core/issues/470
Step 1 is to collect a list of requirements for the scatter plot that we want to sup…
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Running MICE imputation on a dataframe with categorical data throws an error:
(DataFrame info is somewhat abridged)
```
In [27]: data.info()
Int64Index
Data columns (total 23 columns):
time …
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Thanks for the continuous development of this package! I am trying to apply it to some real data and here are some issues/questions I'd like to share:
1. Singular matrix `t(X) %*% X` in `qr.solve()…