#AP Computer Science Principles: Data Analysis - The Night Before 🚀

Hey! Let's make sure you're totally ready for the AP CSP exam. We're diving into Big Idea 2: Data, focusing on how we process, transform, and analyze it. This guide is designed to be your go-to resource for a quick, effective review. Let's get started!

#2.1 Data Collection and Storage

#Data Mining & Data Processing

• Data Mining: The process of examining large datasets to find useful information, patterns, or relationships. Think of it like sifting through a mountain of sand to find gold nuggets. ⛏️
• Data Processing: Using computer programs to record, modify, and organize data. This includes:
  • Spreadsheet programs (Google Sheets, Excel) for numerical data.
  • Text analysis tools for written data.
  • Search tools (like Google Images) for finding specific information.
  • Data filtering capabilities for creating subsets of data.

#Text Analysis

• Looks for patterns within text to categorize or classify it.
• Examples:
  • Determining the tone of writing.
  • Sorting product reviews.
  • Detecting trends in public opinion.
  • Identifying anonymous authors.

#Data Visualization

• Creating tables and diagrams (line graphs, bar graphs) to visually represent data.
• Why? Makes trends and patterns easier to see and understand. A picture is worth a thousand data points! 📊

#Search Tools

• Help find information faster and more efficiently.
• Examples:
  • Color filters for images.
  • Time filters for images.
  • Specific search tools for academic journals.

#Data Filtering

• Creating and extracting subsets of data based on:
  • Time (e.g., results from winter).
  • Value (e.g., values below 30).
  • Quality (e.g., extracurricular activities).

json
{
  "multiple_choice": [
    {
      "question": "Which of the following is the BEST example of data mining?",
      "options": [
        "A) Using a spreadsheet to calculate the average of a set of numbers.",
...