Marine Litter

Data Manipulation - Exploration - Visualization

Task-based
python logo Microsoft PowerBI logo
water bottle

Overview

The purpose of this project was to summarize and visualize the marine litter collection data from 2013-2021. The dataset for this project can be found here. The data was collected by the Marine LitterWatch mobile app developed by the European Environment Agency. More information can be found here.

Dashboard video can be found here. Link to PowerBI dashboard can be found here.

Full Marine Litter project python code can be found on my Github here.

Top Findings/Observations

  • During the period of 2013-2021, plastic made up 85% of all litter collected (the top item being cigarette butts and filters).
  • Cigarette butts and filters made up 28.63% of plastic litter collected (1.8M, rounded).
  • Glass/ceramics and Metal followed plastics at 5.4% and 3.97%, respectively.
  • 2019 saw the highest litter collection at 754K.

Category Totals

Category Litter Total % of Litter Collected (overall) Top Litter Item Item Total % of Litter Collected (within Category)
Chemicals 14184.0 0.68 Paraffin/Wax 14184.0 100.00
Cloth/textile 30066.0 1.45 Other textiles (incl. rags) 13834.0 46.01
Glass/ceramics 112504.0 5.43 Glass or ceramic fragments > 2.5 cm 63418.0 56.37
Metal 82404.0 3.97 Bottle caps, lids & pull tabs 26295.0 31.91
Paper/cardboard 42871.0 2.07 Other paper items 11943.0 27.86
Plastic 1758360.0 84.82 Cigarette butts and filters 503348.0 28.63
Processed/worked wood 18899.0 0.91 Other wood < 50 cm 5931.0 31.38
Rubber 12482.0 0.60 Balloons and balloon sticks 4524.0 36.24
Unidentified 1306.0 0.06 Other medical items (swabs, bandaging, adhesive plaster etc.) 1306.0 100.00

Marine Litter - Jupyter Notebook

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  • Data Manipulation-Exploration-Visualization