Social Media MQP Data Exploration

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Social Media MQP Data Exploration

✓ Published1🌍 Public

Last edited Jan 30, 2023

Created on Jan 30, 2023

This example explores survey response data from a social media study, showing how answers are grouped by platform and question tag. The visualization displays the raw parsed data as a JSON string, revealing the frequency counts of each scaled response (like “Strongly Agree” or “Very Frequently”) per question. It uses d3.csvParse and d3.group to organize the data, with d3’s selection and join methods to render the text. The code fetches a remote CSV and processes the response counts client-side.

AI-generated description

I have mapped the question data to be grouped by social media, with each question having the count of a certain answer linked to a phrase denoting what the answer was (ex. 1 -> VF (Very Frequently) or STR A (Strong Agree)) to enable easy creation of barcharts for each question! I think grouping it by media would make sense as I will often be examining the answers for a particular media, but I also grouped by question tag as that may also be helpful to compare media on a question.

MIT Licensed

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