-
Manually tagging the dataset on the basis of five metrics namely "transparency", "utility", "consistency", "merit", "trust" to observe trends.
-
Modifying the codex to incorporate the "category". Decided which all categories to be used and their use cases.
-
Made some basic visualisations for the randomly tagged dataset. It included a pie chart of 5 different tags, the number of occurences of al tags was approximately the same because of the usage of the 'random' function in python to tag the dataset. It also included a bar chart of the number of comments received per week, data indicating the number of conversations from different channels etc. I'll be making a full dashboard in the next week.
-
Blog: Week 4 Blog