Week 6 of COVID lockdown...People do different things to keep themselves busy. Netflix subscription numbers are record high. Alcohol sales are up, of course. Social media has exploded with viral challenges. And me, I am launching my first blog. Here, I will write about data and the cool things you can do with it using R.
COVID has been the topic of the day for the last 5 months, and yet, there is so much we don’t know about this virus. Many data scientists are working hard to uncover new patterns and forecast the impact of the virus. I also decided to make my small contribution and put together this tutorial about time series forecasting. Here, I will try to predict the spread of COVID in New York City. The same techniques can be used to forecast any time series, be it sales, demand, call volume, etc.
Read more...When dealing with unstandardized address strings, it’s often challenging to extract the country detail because it can present itself anywhere in the string. In this post, I will explain how to use Google Maps Geocoding API to get your address strings in order and to extract the country name and code. I am currently working on a project to help a financial institution assess the quality of customer data recorded from international wire payment messages. To give you a better understanding of what information these messages may include, I found this example from the SWIFT Payment Formatting Guide for Financial Institutions.
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