Visualizations/Fundamentals2 Data Visualization with Python (1/2) (from Coursera) 1. Introduction to Data Visualization Tools 1) Why Build Visuals? * for exploratory data analysis(EDA) * communicate data clearly * share unbiased representation of data * use them to support recommendations to different stakeholders * always remember → 'Less is more effective' → 'Less is more attractive' → 'Less is more impactive' ex) - simple / cleaner / less distracting / much easier to read .. Visualizations/Fundamentals 2022. 5. 1. Seaborn vs Matplotlib 👏 정리 너무 잘해놓은 GeeksforGeeks 포스팅 글 그대로 발췌 👏 👐 Data Visualization is the graphic representation of data. It converts a huge dataset into small graphs, thus aiding in data analysis and predictions. It is an indispensable element of data science that makes complex data more understandable and accessible. Matplotlib and Seaborn act as the backbone of data visualization through Python. 👍Matplotlib: It .. Visualizations/Fundamentals 2022. 3. 26. 이전 1 다음
