Data science | Data viz | Macroeconomics
In this post which I published on LinkedIn.com, I used the data from my colleague, added a few datapoints from LinkedIn, and visualised it in map form. The trend we’re highlighting is all about international selling, wherein, the new (selling) normal is now borderless — countries can prospect from anywhere in the world, which speaks …
This is my entry to the data storytelling contest by the World Bank, United Nations Foundation, and the Global Partnership for Sustainable Development Data. I have never used Google Data Studio before, so there was a learning curve, but I managed to get the hang of it after a day-and-a-half of tinkering. The dataset had …
There is a hidden link in the IMF.org website that is updated weekly: http://www.imf.org/financialactivities. I thought I’d offer a more visually-appealing means of presenting this information.
The dataset source is from the Guardian’s datablog. The 1,000 songs database only had 5 features: Theme, Title, Artist, Year, Spotify URL, so I attempted a beautiful soup webscrape of the wikipedia infobox. While I successfully scraped one, I realized it would be cumbersome to loop through all artists, particularly because they do not have standardized …
If you’ve ever wondered about the quality of your export goods compared with other countries, the IMF’s Research Department just recently updated their Database of Export Quality until 2014. The full dataset is downloadable on data.imf.org/exportquality, and the paper is available here. The paper introduces the “Export Quality Ladder”, a visual representation of a country’s export goods …
The source of the dataset is found here. The Monitoring of Fund Arrangements (MONA) database contains cross-country information on the conditionalities and compliance (i.e., met, not met, waived, etc.) of IMF programs. It is the main source of information for tracking the status of Fund-supported arrangements.
I took Data Science (twice), Data Analytics, Visual Design, and Digital Marketing at General Assembly. Eager much?
I used UNCTAD’s Merchandise Trade Matrix, to visualize sectoral trade networks. Still a work in progress. I used excel and STATA to clean the data, and then I used Gephi to project the network. https://github.com/carlaint/IMF-Trade-Networks/blob/master/README.md
I reverse-engineered the “website” for Data Viz Day at the IMF. I worked on the look, the content, and the functionality. IMF creatives guided me with the color scheme, while I built the back-end, i.e. an excel spreadsheet, that will generate the said UI. Data Viz Day is a half-day event at the IMF, which …
Makeover Monday is a weekly data viz exercise for learning and development alongside other passionate data people. Every Monday, they give out a free dataset and a data challenge to create better, more effective visualizations and help us make information more accessible. This was my entry for #MakeoverMonday 2017, Week 48 Dataset: makeovermonday.co.uk/data/