- Sorting by season
- Sorting by location
- Identifying plastic types
If you are new to this start with notebook one. The code used here is simple but effective. Therefore you will need a working knowledge of Python and/or JavaScript to really grasp what is going on.
Status: Complete => contribute as you like, see guidelines below.
Set up your environment: This is not the place to learn. For data tasks we use Anaconda because it works. The requirements.txt file is included in the repo.
Getting data: Connect the notebook to the API using requests and converting it to python dictionaries.
Descriptive statistics: Use numpy and python dicitionaries to get some basic statistics from the data.
Plot the data: Use matplotlib to plot the data in a time series
Status: Started => completed
Automate: Automation of some of the processes in Note book one
Compare medians: Compare the median values of object categories
Compare medians over time: Visualize the survey results grouped by seasons of the year
Sample output, check charts folder for others:
Status: Started => completed
Abundance: Compare total quantities over time from one survey => then a location => then the whole lake
Density: Compare pcs_m values over time from one survey => then a location => then the whole lake
Probability: Explore some of the continuous distributions that may be applicable
The purpose of contributing is to present the data according to your understanding of the problem with the following reminders:
- Be objecitve
- Know your target group
- Show value or how to get to value
For students participating in the study you may submit a pull request. If you are not part of the EPFL group and you would like to contribute contact hammerdirt and lets talk.
Requirements: Analysis must include data from Switzerland and the beach-litter database. Mathematical or statistical processes need to be explained, both in the context of this application and the "general context".
Packages: Please indicate if you are adding packages to the requirements.txt file. That way we can adjust things on our end.
References: Don't forget links to references