Week 2 - Life in a Warming World

Why I Joined the Power BI Challenge

For this challenge, I wanted to push myself beyond my usual analytical report format and experiment with a more narrative, infographic-style presentation. I deliberately chose a single, scrollable page to explore how data can guide the reader through a story, rather than asking them to explore it on their own.

My Approach

I spent considerable time searching for a clear angle. Climate change is a broad topic, and I wanted to avoid creating a collection of disconnected charts. I ultimately chose to focus on the Arctic, where warming trends are both pronounced and well-documented, and where local changes have global consequences.

To make the impact more tangible, the story narrows further to a species that many people immediately recognize: the polar bear. By connecting global temperature trends, Arctic amplification, ice loss, and sea-ice decline, the report moves from abstract climate signals to concrete ecological consequences.

Data Sources

• NOAA Climate Data Online (CDO).
  Global Land–Ocean Temperature Anomalies.
  National Oceanic and Atmospheric Administration (NOAA).

• Our World in Data.
  Global Sea Level Rise (Church & White; UHSLC).
  Data on global mean sea level change based on tide gauges and satellite observations.

• Our World in Data.
  Average Annual Surface Temperature.
  https://ourworldindata.org/grapher/average-annual-surface-temperature

• NOAA Arctic Indicators.
  Greenland Ice Sheet Mass and Arctic Climate Indicators.
  National Oceanic and Atmospheric Administration.
  https://arctic.noaa.gov/arctic-indicators/

• National Snow and Ice Data Center (NSIDC), NOAA.
  Arctic Sea Ice Extent, Daily Data (G02135).
  Satellite-based observations of Arctic sea ice extent since 1979.
  https://noaadata.apps.nsidc.org/NOAA/G02135/north/daily/data/

• WWF Arctic Programme.
  Last Ice Area.
  https://www.arcticwwf.org/our-priorities/last-ice-area/