Skip to content
PrograinierDeladevelop edited this page Jul 12, 2021 · 34 revisions

The Wiki has the different tools that can be used when accessing the data and what kind of data is accessed. The Wiki has instructions as to how to get started. How to use the Python code to get a selected date, or coordinates or data type. It also goes in depth with each feature and explains the params, use and what should the output look like.

Goals for this documentation

  • Make it easier for user to understand how everything works.
  • Be able to make folders and clone repositories on GitHub Show how to put together the code to print out specific outputs.
  • Help new comers have access to the program.
  • Provide easy template code for EPSCoR contributors

What can users do

The user can change the data source to see where the data should be taken from. There is a way to see the data for a particular data type. The date can be printed in many different formats. The date can also have a range in there which will access the data all in between the two dates selected. The format can also be changed as to how someone can extract the data whether it is json or csv. A URL can be built to send the user to another tab with the data there. There is an option to get the data for a full month using the get full query function and the data can be isolated and used for machine learning using the separate by location function

Why

To create a wiki documentation with use-cases for users to understand and use the Python API. There is a lot of data that is gathered when monitoring/researching and the purpose of this Wiki, GitHub repo is to assist researchers with being able to access/manipulate the data while having no programming/CS background


  1. Getting Started
  2. addDate
  3. addDataType
  4. GetFullQueryByMonth
  5. addBox
  6. addDateRange
  7. changeFormat
  8. buildURL
  9. SeparateByLocation