Pale Blue Dot: Visualization Challenge

Use public Earth observation data to create a visualization that furthers the Sustainable Development Goals of zero hunger, clean water and sanitation, or climate action.

Space Study program
jan 2024
1,591 joined

Community Code

This is where participants can share their work to help and inspire others. Posts can range from short snippets to longer guides covering tips for getting started, interesting visualizations, useful datasets, or something else!

At the end of the challenge, judges will select one post for the "Community Code Bonus Prize." See the home page for selection criteria.

Posts are not required to include code. If your post does not include code, we recommend creating the post in a Markdown file (.md.).

You will have the option to edit your post after submitting.

Examples

Below are some examples of useful topics for posts. However, this is not an exhaustive list!

  • Guide to accessing and working with a specific dataset, including recommending useful supplementary datasets.
  • Walkthrough demonstrating how to create a specific kind of visual in Python, R, or Excel.
  • Suggestions for and background about specific issues to address within a key competition SDG. For example, a participant may have insight into specific problems within their community that could be a good basis for another solver's project.
  • Code demonstrating how to work with a useful supplementary tool, such as Google Earth Engine.
  • Open access work by others that you found very helpful.
  • A helpful and thorough response to another participant's question from the competition forum.

Tips

The best posts will be easy to follow and any code will be well documented. Some tips for creating a good post:

  • Include a short introduction summarizing what the post contains.
  • Do not print out full dataframes or other full data structures, unless they are very small. Long outputs make the narrative harder to follow. Instead, print out data samples and summary statistics.
    • For example, if you are working with a pandas DataFrame print out df.head() or df.sample(n=5) rather than df. Similarly, use df.describe() to see summary statistics.
  • Do not print out extremely long log outputs. Pro tip: you can suppress the output of a Jupyter notebook cell by adding %%capture to the top.
  • Break the post up into explanatory sections, such as "Intro", "Load the data", "Process the data", "Exploratory Data Analysis", and "Visualization". If you are working in a Jupyter notebook, use Markdown cells to add narrative and headers for different sections.
  • Document your code! If you do include code, explain what different parts do with comments, docstrings, or text blocks.
  • To include images, follow the instructions for embedding a Google drive image in a markdown file. Note that this will work for Markdown (.md), but not for Jupyter notebooks (.ipynb).

Posts (28)

4w 1d ago
#Python #Preprocessing #Visualization #Dataset #Tools #Background
2mo ago
#Other #Preprocessing #Visualization #Dataset #Tools #Background
1mo ago
#Other #Preprocessing #Visualization #Dataset #Tools #Background
3w 5d ago
#Other #Tools #Visualization #Dataset
1mo 1w ago
#Python #Tools #Dataset
1mo ago
#Other #Tools #Preprocessing #Visualization #Dataset
4w ago
#Python #Preprocessing
3w 6d ago
#Python #Preprocessing #Visualization #Dataset #Tools #Background
2mo 3w ago
#Other #Preprocessing #Visualization #Dataset #Tools #Background
3w 5d ago
#R #Preprocessing #Visualization #Dataset
4w ago
#Python #Preprocessing #Visualization
1mo 1w ago
#Python #Tools #Preprocessing #Dataset #Background
3w 6d ago
#Python #Background
3w 5d ago
#Other #Background #Visualization #Dataset
2mo 2w ago
#Python #Tools #Preprocessing #Dataset #Background
1mo 1w ago
#Python #Preprocessing #Visualization #Dataset #Tools #Background
2mo 1w ago
#Python #Preprocessing
1mo 3w ago
#Python #Dataset #Tools #Preprocessing #Background
1mo 2w ago
#Python #Visualization
1mo 1w ago
#Other #Background #Tools #Preprocessing #Dataset #Visualization
1mo 1w ago
#Python #Tools #Visualization
1mo 1w ago
#Python #Tools #Background #Dataset
2mo 2w ago
#Python #Tools #Preprocessing #Dataset #Background
1mo ago
#Python #Tools #Visualization #Dataset
2mo 2w ago
#Python #Tools #Preprocessing #Dataset