Master Data Exploration in Python with Pandas: A Beginner’s Guide 📊

The goal of this video is to make data science accessible to everyone. This starts with loading in and exploring data. I use python and the pandas module to show you how to do this.

Anaconda: https://www.anaconda.com/
Data: https://www.kaggle.com/austinreese/craigslist-carstrucks-data
Code with comments: https://github.com/PlayingNumbers/fundamentals

#DataScience #DataScienceFundamentals #DataExploration #Python

Things shown:
0:00 Intro
3:15 What pandas is
4:15 How Spyder works
6:25 Reading in data - pd.read_csv()
7:20 Showing the shape of the data (Rows, Columns) - data.shape
7:45 Sampling data - data.head() data.tail()
8:30 Getting column names - data.columns
9:05 Overall information on your dataset - data.info() data.describe()
10:35 Getting data types - data.dtype
11:15 Evaluating null values - data.isnull() data.isnull().any()
12:00 Getting percent null - data.isnull().sum() / data.shape[0]
13:40 Information on categorical variables - data.variable.unique() data.variable.value_counts data.type.value_counts()/ data.type.notnull().sum()
16:00 Graphs: histogram data.var.hist() data.var.bar()

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