Today, there has been a great deal of discussion around climate change and global warming in the news. The National Climatic Data Center within the National Oceanic and Atmospheric Administration (NOAA) monitors weather stations from around the world. Since NOAA data is publicly available, it is a good data source for demonstrating how the citizen analyst can access large public datasets, then crunch numbers and find out the deeper story behind opinions they see in the news.
Does the historical frequency of daily temperature records (High or Low) in the US provide statistical evidence of dramatic climate change? Using public weather data we can explore the applicability of Juypter Notebooks to citizen analytics. For each US weather station, on each day of the year, we can identify the frequency at which daily High and Low temperature records are broken.
Building on recent IBM contributions to the jupyter-incubator, namely jupyter-incubator/declarativewidgets and jupyter-incubator/dashboards, the Temperature Record Frequency Dashboard is an exemplar of how Jupyter Notebooks can be used for data munging, data exploration, visualization, and dashboard generation for weather station related analytics.
Citizen analysts can use the iterative data exploration experience offered by Jupyter Notebooks to explore and observe the actual frequency at which weather stations in the USA have actually experienced new high and low temperature records. Instead of accepting the viewpoints of the mass media, citizens can ponder and answer on their own questions like:
- How many weather stations in US?
- For US weather stations, what is the average years of record keeping?
- For each US weather station, on each day of the year, identify the frequency at which daily High and Lowtemperature records are broken.
- Does the historical frequency of daily temperature records (High or Low) in the US provide statistical evidence of dramatic climate change?
- What is the average life-span of a daily temperature record (High or Low) in the US?
Aside from the being a single record of the user’s session with embed code, narrative text and rich visualizations, Jupyter Notebooks also enable the creation of rich web dashboards.
Want to learn more?
- Jupyter Notebooks
Try it! – Live via jupyter/tmpnb
Incubation Showcase – Live via Binder Badge
- Recently IBM acquired The Weather Company data services platform to expand its portfolio of analytical services and help organizations identify insights associated with the impact weather has on their businesses.
- IBM Resources
Sample Notebooks – Live via Binder Badge
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