This document outlines a lesson on JSON (JavaScript Object Notation). It introduces JSON, describing its basic syntax and components like objects, arrays, values, strings and whitespace. It demonstrates how to parse and work with JSON data in Python, including reading and writing JSON from files and URLs, converting between dictionaries and JSON, and appending data. As an activity, students are asked to analyze COVID-19 case data from an API in JSON format, wrangle the data, and submit their Python code. The next lesson materials will be available on the professor's GitHub page.

1. Data Wrangling
Week 5
Dr. Ferdin Joe John Joseph
Faculty of Information Technology
Thai – Nichi Institute of Technology, Bangkok

2. Today’s Lesson
• Introduction to JSON
• JSON - Theories
• JSON parsing using Python
• Demonstration
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Technology, Bangkok
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3. JSON – Introduction
• JSON stands for Java Script Object Notation
• It is a subset of Javascript
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JSON
Javascript
Java

4. Forms of JSON
• Objects
• Arrays
• Values
• Strings
• Whitespace
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Technology, Bangkok
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5. JSON Objects
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6. JSON Objects
• An object is an unordered set of name ‘/’ value pairs.
• An object begins with ‘{‘ left brace and ends with ‘}’ right brace.
• Each name is followed by ‘:’ colon and the name ‘/’ value pairs are
separated by ‘,’ comma.
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7. JSON Arrays
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8. JSON Arrays
• An array is an ordered collection of values.
• An array begins with ‘[‘ left bracket and ends with ‘]’ right bracket.
• Values are separated by ‘,’ comma.
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9. JSON Values
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10. JSON Values
• A value can be a string in double quotes, or a number, or true or false
or null, or an object or an array.
• These structures can be nested.
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11. JSON String
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12. JSON String
• A string is a sequence of zero or more Unicode characters, wrapped in
double quotes, using backslash escapes.
• A character is represented as a single character string. A string is very
much like a C or Java string.
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13. JSON Numbers
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14. JSON Whitespace
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15. JSON Protocol
• ECMA-404 The JSON Data Interchange Standard.
• Link of the protocol in canvas. For your reading
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16. Usage of JSON in python
• Demonstration in Jupyter
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17. Prerequisite
• Prepare a JSON file using notepad and save it as filename.json
• For easy access, save the file in the same directory as the ipynb
notebook
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18. Prerequisite
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19. Prerequisite
• You can also download from canvas.instructure
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20. Libraries
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21. Libraries
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22. JSON in variable
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23. JSON from file
• Create a file person.json and store the following
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{"name": "Bob",
"languages":
["English", "French"]
}

24. JSON file read
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25. Dict to JSON
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26. Read and write JSON
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27. Add more fields
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28. Append more data
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29. Read Data
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30. Append Entries
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31. Read JSON from URL
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32. Activity
• Read the JSON content in the link below and perform data analysis on
the data parsed. Show the columns removed and data wrangling
done to make the data presentable. Upload to your GitHub and
submit the link of your ipynb file in canvas.instructure portal.
https://covid19.th-stat.com/api/open/cases
Classwork and graded assignment
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33. Lesson for Next Week
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https://github.com/ferdinjoe/DSA201
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