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결측값 처리와 이상값 검색 TOP NEW
목차 제1절 R 기초 제2절 데이터 마트 제3절 결측값 처리와 이상값 검색 1. 탐색적 데이터 분석(EDA) 탐색적 데이터 분석(EDA, Exploratory Data Analysis)이란 본격적인 분석이나 모델링에 앞서 데이터를 직관적으로 이해하고, 숨겨진 패턴이나 이상값(Outliers), 결측값(Missing values), 변수 간 관계(변수 간 상관성 등)를 시각적 및 통계적으로 탐색하는 과정입니다. 이 과정은 데이터의 분포, 범위, 중심 경향성(평균, 중앙값), 변동성(분산, 표준편차) 등의 통계적 요약 정보뿐 아니라, 변수 간의 관계... Read More
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Reference guide: Conditional statements TOP NEW
Conditional statements are an essential part of programming. They allow you to control the flow of information based on certain conditions. In Phython, if, elif, and else statements are used to implement conditional statements. Using conditional statements to branch program execution is a core part of coding for mos... Read More
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Activity: Conditional Statements TOP NEW
Activity: Conditional Statements Introduction In this lab, you will practice using Python operators to perform operations between two variables and write conditional statements. As a data analyst, you’ll use conditional statements in your approach to many different tasks using Python. Using Boolean values, condit... Read More
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Reference guide: Python operators TOP NEW
You’ve encountered many Python operators already. Many of them likely feel very familar to you. After all, there’s nothing novel about addition and subtraction in Python. But there are many more operators than the ones used for basic arithmetic! Operators are characters that enact specific arithmetic, logical action... Read More
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Reference guide: Functions TOP NEW
As you’ve been learning, functions are bodies of reusable code for performing specific processes or tasks. They help you do more work with less code. Function examples include: A specific calculation or measurement, such as converting Fahrenheit to Celsius An inventory utility to iterate quantitie... Read More