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코드 따라하기 ↗Exploratory Data Analysis in Python for Absolute Beginners
In this live codealong, you will learn the basics of exploring new datasets
Filip Schouwenaars
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Google로 계속하기계속 진행하시면 다음 사항에 동의하는 것으로 간주됩니다: 이용약관 및 개인정보 처리방침 그리고 귀하의 데이터가 미국에 저장된다는 점에 동의하는 것으로 간주됩니다.관련
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Python Exploratory Data Analysis Tutorial
Learn the basics of Exploratory Data Analysis (EDA) in Python with Pandas, Matplotlib and NumPy, such as sampling, feature engineering, correlation, etc.

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Exploratory Data Analysis in Python for Beginners
In this code-along, you will be introduced to the basics of exploring new datasets. Using data on UK Premiership soccer results, you will use Python to calculate summary statistics and draw visualizations to generate insights.

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Exploratory Data Analysis in R for Absolute Beginners
Learn the basics of exploring new datasets in R.



In this live codealong, you will be introduced to the basics of exploring new datasets. Using hotel booking demand data, you will calculate summary statistics and draw visualizations to generate insights. After the code-along, you will get access to a solution notebook to use as a future reference!
We will be using DataLab. All you need is a DataCamp account. Note that members of some enterprise groups do not yet have access to use DataLab. Create a free DataCamp account with your personal email address to follow along.
Key takeaways
How to use the pandas package to manipulate data and calculate summary statistics.
How to use the Plotly Express package to draw data visualizations.
Additional resources
Data Analyst with Python
Getting started with Python cheat sheet
Pandas cheat sheet
Plotly Express cheat sheet