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Update changelog with version 0.2.0.0
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CHANGELOG.md

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* Add `impute` function for replacing `Nothing` values in optional columns.
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* Add `filterAllJust` to filter out all rows with missing data.
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* Add `distinct` function that returns a dataframe with distict rows.
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## 0.1.0.3
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* Use older version of correlation for ihaskell itegration
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# 0.2.0.0
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* Remove `Function` adt with a column expression syntax.
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* Adds a coverage report to the repository (thanks to @oforero)

README.md

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* Follow along any one of the tutorials below.
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### Jupyter notebook
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* Jupyter notebook is still underway with some local tests/examples in the works.
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* Use the Dockerfile in the [ihaskell-dataframe](https://github.com/mchav/ihaskell-dataframe) to build and run an image with dataframe integration.
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* For a preview check out the [California Housing](https://github.com/mchav/dataframe/blob/main/docs/California%20Housing.ipynb) notebook.
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## What is exploratory data analysis?
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![Screencast of usage in GHCI](./static/example.gif)
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## Future work
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* Jupyter/ihaskell support (soon)
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* Apache arrow and Parquet compatability
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* Integration with common data formats (currently only supports CSV)
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* Support windowed plotting (currently only supports ASCII plots)

dataframe.cabal

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cabal-version: 2.4
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name: dataframe
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version: 0.1.0.3
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version: 0.2.0.0
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synopsis: An intuitive, dynamically-typed DataFrame library.
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