Different formats for Tabular Data

The Data

If we put the data in a table, like a spreadsheet or an HTML table, it looks like this:

Type of Experience	Little or No Experience	Some Experience	Very Familiar
Writing software in any programming language	1	5	4
Frontend Web Development	4	3	3
Server-side (“backend”) Web Development	4	4	2
Using Git to track changes and share code (add, commit, push, pull)	2	5	3

CSV

If we represent the data as CSV (comma separated values), it will look like this:

Type of Experience,Little/No Experience,Some Experience,Very Familiar
Writing software in any programming language,1,5,4
Frontend Web Development,4,3,3
Server-side (“backend”) Web Development,4,4,2
"Using Git to track changes and share code (add, commit, push, pull)",2,5,3

Note that in order to accommodate commas within the values of the "Type of Experience" column, we put those values in quotes.

JSON

JSON gives us a bit more structure. A JSON object is a set of properties and values. Properties and values in a JSON object is an example of the more general pattern of key/value pairs. This concept of keys and values is an important concept when you're creating, manipulating, or exchanging data.

JSON (one object per row):

{"Type of Experience":"Using Git to track changes and share code (add, commit, push, pull)","Little/No Experience":2,"Some Experience":5,"Very Familiar":3}

JSON (with line breaks for readability):

{
  "Type of Experience":"Using Git to track changes and share code (add, commit, push, pull)",
  "Little/No Experience":2,
  "Some Experience":5,
  "Very Familiar":3
}

JSON with column numbers instead of Values from Header Row:

{
  "col1":"Using Git to track changes and share code (add, commit, push, pull)",
  "col2":2,
  "col3":5,
  "col4":3
}