Tech Journal

Activity: While loops Introduction Data analysts often work with code that requires repetition. In Python, iterative statements can help automate repetitive processes to make them more efficient. In this lab, imagine you have transitioned fully into marketing for the movie theater. One of your tasks is analyzing ... Read More

Annotated follow-along guide: Loops and strings This notebook contains the code used in the instructional videos from Module 3: Loops and strings. Introduction This follow-along guide is an annotated Jupyter Notebook organized to match the content from each module. It contains the same code shown in the videos fo... Read More

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

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

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