You hear time and time again how 50 to 80 Percent of Data science projects is spent on data wrangling munging and transformation of raw data into something usable. For me personally. I’ve automated a lot of those steps. I built tools over the last 20 years that help me do more in less time.…
Read More The Big Cost in Data ScienceAfter I finished evaluating the Storm Events Database from NOAA, I was convinced we needed to look for machine recorded events. When you start poking around the NOAA site looking for radar data, you’ll find a lot of information about how they record this data in binary block format. Within this data, you’ll find measurements…
Read More NOAA Radar and Severe Weather Data InventoryThis entry picks up the story behind my first data science project predicting hail damage to farms. In this article we identify data quality issues in our first data source. Property and Crop Damage In the NOAA documentation these two columns were recorded to say how much property and crop damage occurred in a given…
Read More Data Quaity Issues