Fast successful data science
If you are interested in studying tornadoes, the Oceanic and Atmospheric National Administration (NOA) He has a wonderful public domain database to make his day. When extended to 1950, it covers starting and completion locations of tornadoes, magnitudes, injuries, deaths, financial costs and more.
You can access data through NOAA's Storm Prediction Center. In addition to the unprocessed data, this site supplies many graphics and maps that cut and cut the data in multiple ways. One of my favorite maps is the average of 20 years of watches in severe weather. It seems that Oklahoma's borders are based mainly on bad weather!
These prefabricated maps are useful, but they cannot address each situation. There will be times when you need to do habit Maps, either to answer a specific question or to incorporate external data.
On this Fast successful data science Project, we will use Python, Pygris, Geopondas, Plotly Express and part of the extensive NOAA database to map the tornadoes, graph their …
