Sample Project: Exploratory Data Analysis with TMDB Data

**Exploring the TMDB Movies Dataset on Databricks** Welcome to our comprehensive guide on Exploratory Data Analysis (EDA) on Databricks. Using a rich movies dataset, you'll journey through exploring and profiling the data, to cleaning and querying it, and ultimately discovering insights about the world of cinema, complemented by compelling visualizations. By the end of this notebook, you'll not only be more familiar with our platform's capabilities, but you'll also gain a hands-on understanding of the fundamental steps in EDA. In this sample project, you will: 1. Read in a sample dataset 2. Profile the data to get a general idea of our dataset's contents 3. Clean up the data and save it as a new table 4. Query the cleaned data to gain insights about movies (with visualizations!) 5. Take the exploration further on your own with a challenge The data set you will use contains information about 10,000 movies collected from The Movie Database (TMDB), including user ratings and revenue. Source: [https://www.kaggle.com/datasets/akshaypawar7/millions-of-movies](https://www.kaggle.com/datasets/akshaypawar7/millions-of-movies)

搜集汇总

背景与挑战

背景概述

该数据集为TMDB电影数据探索性分析示例项目，提供了10,000部电影的信息，包括用户评分和收入等。项目旨在引导用户通过数据读取、分析、清理和查询等步骤，在Databricks平台上进行EDA并生成可视化结果。