🎬
Data Science - Wintersemester 24/25
  • Welcome
  • What’s Data Science and How Do I Do It?
    • 📆Timeline
    • 🏴‍☠️R Overview
      • 📩Installation
      • 🐈‍⬛GitHub Setup
      • 🥗DataCamp Courses
    • 🐍Python Overview
      • 📩Installation
      • 🐈‍⬛GitHub Setup
      • 📦Virtual Environment Setup
      • 🥗DataCamp Courses
  • Introduction to Your Project
    • About the Project Guide
    • What is this Project About?
  • Exploratory Data Analysis (EDA)
    • Getting started
    • Discovering the Data 🔎
      • Initial Exploration Tasks
      • Initial Data Visualization
    • Data Cleaning and Transformation
      • Cleaning the Crime Dataset👮🏼
      • Cleaning the Weather Dataset🌦️
    • Data Visualization
      • Crime Rate Over Time
      • Crime Types
    • Grouping and Merging Data
    • Linear Regression
    • Impress us!
    • Internship Complete!
  • Advanced
    • Introduction
    • K-Means Clustering
      • The Clustering Model
      • Visualize the clusters
    • Impress us!
  • ✅Exercise Checklist
  • Legal Disclaimer
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  1. Introduction to Your Project

What is this Project About?

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Last updated 6 months ago

This semester, we're diving into crime data! Specifically, we’ll begin by analyzing a comprehensive dataset that covers various crime incidents in Los Angeles from 2020 to 2024. This dataset includes detailed information about victims aged 18 and older. You'll encounter a wealth of information—some of it valuable and some less so. As you explore the data, think of yourself as a detective piecing together clues to uncover the stories behind the numbers. Get ready to investigate and discover insights that can make a difference!