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README.md

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@@ -20,7 +20,7 @@ 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://danfo.jsdata.org/api-reference/dataframe/dataframe.tensor) to Tensors.
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- Danfo.js is fast and supports Tensorflow.js tensors out of the box. This means you can [convert Danfo data structure](https://danfo.jsdata.org/api-reference/dataframe/dataframe.tensor) to Tensors.
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- Easy handling of [missing-data](https://danfo.jsdata.org/getting-started#missing-data) (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://danfo.jsdata.org/api-reference/dataframe#combining-comparing-joining-merging) from DataFrame
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- Intuitive [merging](https://danfo.jsdata.org/api-reference/general-functions/danfo.merge) and [joining](https://danfo.jsdata.org/api-reference/general-functions/danfo.concat) data
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sets
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- Robust IO tools for loading data from [flat-files](https://danfo.jsdata.org/api-reference/input-output)
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(CSV, Json, Excel, Data package).
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(CSV, Json, Excel).
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- Powerful, flexible and intutive API for [plotting](https://danfo.jsdata.org/api-reference/plotting) DataFrames and Series interactively.
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- [Timeseries](https://danfo.jsdata.org/api-reference/series#accessors)-specific functionality: date range
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generation and date and time properties.

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