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README.md

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DataFrame is a tabular data structure for data analysis in [Pharo](https://pharo.org/).
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For more information, please read [Data Analysis Made Simple with Pharo DataFrame](https://github.com/SquareBracketAssociates/Booklet-DataFrame) - a booklet that serves as the main source of documentation for the DataFrame project. It describes the complete API of DataFrame and DataSeries data structures, and provides examples for each method.
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<img width="700" src="img/weatherDf.png">
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## What are data frames?
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Data frames are the one of the essential parts of the data science toolkit. They are the specialized data structures for tabular data sets that provide us with a simple and powerful API for summarizing, cleaning, and manipulating a wealth of data sources that are currently cumbersome to use.
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A data frame is like a database inside a variable. It is an object which can be created, modified, copied, serialized, debugged, inspected, and garbage collected. It allows you to communicate with your data quickly and effortlessly, using just a few lines of code. DataFrame project is similar to [pandas](https://pandas.pydata.org/) library in Python or built-in [data.frame](https://www.rdocumentation.org/packages/base/versions/3.5.3/topics/data.frame) class in R.
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[![Screenshot](img/example.png)](https://raw.githubusercontent.com/PolyMathOrg/DataFrame/master/img/example.png)
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## Installation
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The following script installs DataFrame into the Pharo image
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load.
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```
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## DataFrame Booklet
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For more information, please read [Data Analysis Made Simple with Pharo DataFrame](https://github.com/SquareBracketAssociates/Booklet-DataFrame) - a booklet that serves as the main source of documentation for the DataFrame project. It describes the complete API of DataFrame and DataSeries data structures, and provides examples for each method.
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[![DataFrame Booklet](img/booklet.png)](https://github.com/SquareBracketAssociates/Booklet-DataFrame)
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## Example
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This is a small example that will demonstrate how DataFrame can be used for collecting and preprocessing the dataset of methods. For more detailed information read the [DataFrame booklet](https://github.com/SquareBracketAssociates/Booklet-DataFrame).

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