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# Data analysis of used car database
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Data Analysis or sometimes referred to as exploratory data analysis is one of the core components of data science. It is also the part on which data scientists, data engineers, data analysts sepnd their majority of the time which makes it extremely important in the field of data science. This repository demonstartes some common exploratory data analysis methods and techniques using python. For purpose of illustration the **used car database** dataset has been taken from kaggle since it is one of ideal datasetfor performing **EDA** and taking a step towards one of the most amazing and interesting field of data science. Good luck with your _EDA_ on the _used car database_ dataset.
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Data Analysis or sometimes referred to as exploratory data analysis is one of the core components of data science. It is also the part on which data scientists, data engineers and data analysts spend their majority of the time which makes it extremely important in the field of data science. This repository demonstartes some common exploratory data analysis methods and techniques using python. For purpose of illustration the **used car database** dataset has been taken from kaggle since it is one of the ideal dataset for performing **EDA** and taking a step towards the most amazing and interesting field of data science. Good luck with your _EDA_ on the _used car database_ dataset.
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### DataSet Overview
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+ The dataset is taken from **kaggle** and contains details of the **used cars in germany** which are on sale on **ebay**.
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+ The dataset is not clean and hence a lot of data cleaning is carried out. For e.g. prices where too high which are replaced by the median and outliers are removed accordingly.

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