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README.md

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@@ -21,6 +21,7 @@ easy and intuitive. It is heavily inspired by [Pandas](https://pandas.pydata.org
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## Main Features
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- Danfo.js is fast. It is built on Tensorflow.js, and supports tensors out of the box. This means you can [convert Danfo data structure](https://jsdata.gitbook.io/danfojs/api-reference/dataframe/dataframe.tensor) to Tensors.
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- Easy handling of [missing-data](https://jsdata.gitbook.io/danfojs/api-reference/dataframe#missing-data-handling) (represented as
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`NaN`) in floating point as well as non-floating point data
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- Size mutability: columns can be [inserted/deleted](https://jsdata.gitbook.io/danfojs/api-reference/dataframe#indexing-iteration) from DataFrame
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- Powerful, flexible and intutive API for [plotting](https://app.gitbook.com/@jsdata/s/danfojs/~/drafts/-MESZnq3_VBU0EW71MxS/api-reference/plotting) DataFrames and Series interactively.
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- [Timeseries](https://jsdata.gitbook.io/danfojs/api-reference/series#accessors)-specific functionality: date range
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generation and date and time properties.
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- Robust data preprocessing functions like [OneHotEncoders](https://jsdata.gitbook.io/danfojs/api-reference/general-functions/danfo.onehotencoder), [LabelEncoders](https://jsdata.gitbook.io/danfojs/api-reference/general-functions/danfo.labelencoder), and scalers like [StandardSaler](https://jsdata.gitbook.io/danfojs/api-reference/general-functions/danfo.standardscaler) and [MinMaxScaler](https://jsdata.gitbook.io/danfojs/api-reference/general-functions/danfo.minmaxscaler) are supported on DataFrame and Series
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## How to install
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</html>
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```
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Output:
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![](danfo-sample.gif)
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## Documentation
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The official documentation can be found [here](https://jsdata.gitbook.io/danfojs/)
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## Discussion and Development
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Most development discussions take place on our [issues](https://github.com/opensource9ja/danfojs/issues) tab.
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Development discussions take place on our [issues](https://github.com/opensource9ja/danfojs/issues) tab.
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## Contributing to Danfo
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All contributions, bug reports, bug fixes, documentation improvements, enhancements, and ideas are welcome. A detailed overview on how to contribute can be found in the [contributing guide](https://jsdata.gitbook.io/danfojs/contributing-guide).

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