rising3월 16일· 2 sources
Using Python for Data Analysis
Python을 활용한 데이터 분석
Why it matters
This article explains how to use Python for data analysis, highlighting its ease of use, extensive library support (Pandas, NumPy, Matplotlib, Seaborn), and scalability. It walks through a data analysis workflow covering data acquisition from CSV files and data cleaning steps including handling missing values, correcting data types, fixing inconsistencies, and removing duplicates.
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djangofastapimatplotlibnumpypandaspythontensorflow데이터 분석데이터 클리닝