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There're some categorical columns in my dataset which are stored by numbers. So I checked data_info.json file to see if they are preprocessed. Unfortunately, all of them are not recognized by mljar. T…
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using `layout = dims(1)` one can currently create a facet layout where each x or y axis is separate, but only if the data is continuous:
```julia
df = (
x1 = [1, 2, 3],
x2 = [4, 5, 6],
…
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For the moment the data type need to be provided manually, accepting 'numerical' or 'categorical', with default being 'numerical'.
For quality of life I would suggest:
- inferring type from the da…
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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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Hi,
I would like to use CleanLab to analyze a tabular dataset I have with ~6000 rows and ~40 columns. The columns are mostly numerical, but some of them are low-cardinality categorical. I dummy-enc…
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## Icon Request
* Icon name: abc
* Use case: Could be used for identifying data type as categorical, textual, etc. Potentially also covers other cases such as the one from #427.
* Screenshots of …
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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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Will it work for categorical data?
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horsburgh[CodePlex] I am trying to implement the Categories functionality of the ODM database, but cannot get any data to load into the table through the ODM data loader. Before I manually enter them,…
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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 …