Twitter Analysis
It all begins with an idea.
I analysed tweets related to the ambulance strike in England and Wales on 11 January 2023. I collected my tweet data using TAGS v6.1.9.1 and identified the following information using Excel.
Hourly traffic
Daily volume of tweets containing specific keywords
Frequency of tweets by each profile
Retweet to Tweet ratio
Top 10 tweets
Top 10 (re)tweeters
Proportion of geocoded tweets
Proportion of profiles with location
I illustrated my findings using ECharts and included the graphs into my HTML page as JS script.
Using Python for analysis and visualisation
Using Python, I investigated whether unicorns are concentrated in certain industries or countries, and whether unicorns from different countries tend to specialise in different markets. I also looked at the top ten investors and checked whether they tend to specialise in particular industries or countries. Finally, I created a time series to show which industries have seen relatively more growth in the number of unicorns in recent years.
Click here for code.