Climatic is a data storytelling project that gives users a look into how our lives are shaped by the environment every day. Unlike other data scientists who try to focus strictly on the scientific, we wanted to create a product that allows users to be taken on a journey through time that shows them exactly how climate change impacts them. Through complex regression, classification, and GRU model training, we have made predictions about the effects of climate change while allowing users to test their own theories through various interactions. Using predictive modeling and algorithms, we aim to give users the power to hypothetically mitigate environmental challenges. Our interactions include allowing users to posit scenarios using our Gemini-powered chatbot that may have an impact on the environment, and then getting a visual representation of that impact in seconds. We allow users to be curious and explore how their own personal communities may be impacted. They can see what communities are most at risk of climate disasters and the economic impact that can have on their world. Most specifically, we predict the things that directly impact people most - rent, gas, and electric prices. Climatic provides practical reasons for everyone to care about their environment.
Datasets with Links data/raw/danger/DisasterDeclarationsSummaries.csv: OpenFEMA Dataset: Disaster Declarations Summaries - v2 https://www.fema.gov/openfema-data-page/disaster-declarations-summaries-v2
data/raw/danger/bdd.csv: U.S. Billion-dollar Weather and Climate Disasters, 1980 - present (NCEI Accession 0209268) https://www.ncei.noaa.gov/access/metadata/landing-page/bin/iso?id=gov.noaa.nodc:0209268
data/raw/danger/clean_bdd_fema_joined.csv: Billion-Dollar Disasters joined with FEMA disaster data https://www.ncei.noaa.gov/access/billions/
data/raw/noaa/*.csv: Raw NOAA Global Summary of the Month Data Files CSVs for 7 cities (NYC, Miami, Seattle, Dallas, Chicago, Los Angeles, Las Vegas). https://www.ncei.noaa.gov/cdo-web/search
data/raw/gas/gas_clean.py: EIA Natural Gas Monthly dataset cleaned https://www.eia.gov/naturalgas/monthly/
data/raw/eia/eia_clean.py: EIA-826 Retail sales of electricity to customers https://www.eia.gov/cneaf/electricity/page/fact_sheets/retailprice.html?utm_source=chatgpt.com
data/raw/housing/homevals_clean.csv: Zillow median home prices since 2000 https://www.zillow.com/research/data/?msockid=19bddbdac6536b0c1eafcd16c7916ad6&utm_source=chatgpt.com
data/raw/housing/rentals_clean.csv: Zillow median rent prices since 2015 https://www.zillow.com/research/data/?msockid=19bddbdac6536b0c1eafcd16c7916ad6&utm_source=chatgpt.com
data/raw/housing/hpi_1990_clean.csv: Housing price index monthly histogram since 1990 https://www.fhfa.gov/data/hpi/datasets
data/raw/carbon/co2.csv: https://gml.noaa.gov/ccgg/trends/data.html
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