Analyzing data with Python

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  1. Designing Hands-on Labs:

    • Instruction on creating a hands-on lab for data analysis.
    • Explanation of main parts of a hands-on lab.
    • Description of instructional labs and learning tools, including interoperability or LTI labs.

  2. Analyzing McDonald's Menu Data with Python:

    • Utilizing McDonald's menu nutritional data for basic exploratory analysis using Python.
    • Introduction to SQLite 3 for creating a database to store McDonald's menu nutrition facts.
    • Loading CSV data into SQLite database using pandas.
    • Retrieving data from the database tables using pandas' read_sql method.
    • Performing basic data analysis:
      • Using describe method for summary statistics.
      • Exploring sodium content in McDonald's menu items.
      • Visualizing data with scatter plots and box plots.

  3. Key Points:

    • SQLite 3 is a serverless SQL database engine that can be used within Python.
    • pandas.read_csv function is used to read CSV files.
    • SQLite3.connect function establishes a connection to a database.
    • Data can be retrieved from database tables using pandas' read_sql method.
    • Visualization tools such as seaborn's scatter plots and box plots are utilized for data exploration.

Overall, the video provides a practical demonstration of using Python for basic exploratory analysis of McDonald's menu nutritional data, covering data loading, manipulation, analysis, and visualization.

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