Webapps with python
Webapps with python
Python has a number of libraries that makes creating graphics based on data. Some of these tools can create interactive graphics and also web applications so that one can allow non-programmers to explore, analyse and visualize data. Ploty Dash is such a library with a particularly easy learning curve.
Here are some prototype applications that were created using this library. I use docker containers based on dokku -- a PaaS (Platform as a Service) --to host these apps.
Precipitation records of Europe
European Climate Assessment & Dataset project managed by Royal Netherlands Meteorological Institute (KNMI), collects meteorological data (pressure, humidity, wind speed, cloud cover and precipitation - see here for the complete description) from thousands of observation stations from (at the time of writing) 63 countries. As of september 2019, this database includes observations from 57312 stations.
We extracted the precipitation data from this dataset and provide it with a web application where the user can explore, do some simple trend analyses and download, downsampled data (Annual and monthly).
Life-cycle Costing Tool
Orographic lift of wind fields - atmospheric quantities calculator
Urban population of the world
