Figure Friday 2025 - week 3

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join the Figure Friday session on January 24, at noon Eastern Time, to showcase your creation and receive feedback from the community.

“Created by the United Nations Framework Convention on Climate Change, the Green Climate Fund aims to support a paradigm shift in the global response to climate change. It allocates its resources to low-emission and climate-resilient projects and programmes in developing countries.” (UNEP)

In week 3 of Figure Friday, we’ll explore the Climate Fund’s data on these climate-resilient projects and programmes.

The above dataset represents the Countries tab, but feel free to analyze the other three tabs, such as the Fund Activities tab.

Things to consider:

  • can you improve the sample figure below (Choropleth map)?
  • would you like to tell a different data story using a different graph?
  • can you create a Dash app instead?

Sample figure:

image
image1910×931 120 KB

Code for sample figure: 
import plotly.express as px
import pandas as pd

df = pd.read_csv('https://raw.githubusercontent.com/plotly/Figure-Friday/refs/heads/main/2025/week-3/ODL-Export-Countries.csv')

fig = px.choropleth(
    data_frame=df,
    locations='ISO3',
    color='FA Financing $',
    color_continuous_scale='viridis',
    hover_name='Country Name',
    title='Funded Activities by Country',
    projection='orthographic'
)

fig.update_coloraxes(colorbar_tickprefix='$')
fig.show()

Participation Instructions:

  • Create - use the weekly data set to build your own Plotly visualization or Dash app. Or, enhance the sample figure provided in this post, using Plotly or Dash.
  • Submit - post your creation to LinkedIn or Twitter with the hashtags #FigureFriday and #plotly by midnight Thursday, your time zone. Please also submit your visualization as a new post in this thread.
  • Celebrate - join the Figure Friday sessions to showcase your creation and receive feedback from the community.

:point_right: If you prefer to collaborate with others on Discord, join the Plotly Discord channel.

Data Source:

Thank you to the Green Climate Fund for the data.

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For those interested, the Glossary didn’t provide more or any definition on some of the acronyms or columns. Maybe I missed them but here is what I had to dig deeper on.

In the context of the Green Climate Fund (GCF), the “B” in “B.11” stands for Board, specifically referring to a formal meeting of the GCF Board.

The number following the “B” indicates the sequence of the board meeting. So, B.11 signifies the 11th meeting of the GCF Board.

“Theme”: the term “Cross-cutting” typically refers to projects or programs that simultaneously address both mitigation (reducing greenhouse gas emissions) and adaptation (building resilience to the impacts of climate change)

ESS:
ESS categories are used to classify the environmental and social risks associated with business activities, projects, or programs. These categories help to identify, analyze, and mitigate potential negative impacts.

Examples of ESS categories

  • Category A

Activities with significant, irreversible, or unprecedented adverse environmental or social risks

  • Category B

Activities with limited adverse environmental or social risks that are site-specific and reversible

  • Category C

Activities with minimal or no adverse environmental or social risks