This project is a dashboard of key indicators of Earth's climate. The key indicators are Temperature, Ocean Temperature, Carbon Dioxide, Methane, Arctic Ice, Mass of Antarctica, Sea Level, Human Population. This dashboard was inspired by NASA's and NOAA's climate dashboards. This project is hosted on Kaggle and you can find it here: https://www.kaggle.com/code/jarredpriester/earth-s-climate-dashboard
The first purpose of this project is to continue the process of finding the best ways to communicate and visualize the current situation of our climate. The second purpose of this project was to work on different ways to produce a dashboard in python.
The initial plan was to set up APIs to feed the data into the notebook automatically. For the scope of this project, those APIs were not available. I learned more about gathering data manually and converting to csv files. I was also able to learn more about the python library Plotly. I love the fact that you can interact with the plots and customize the data you want to show when hovering over the points in the plots.
The datasets were found from NASA, NOAA, The World Bank. Datasets are manually updated on a monthly or yearly basis depending on the data. Data can be found here:
https://climate.nasa.gov/
https://www.climate.gov/climatedashboard
https://data.worldbank.org/indicator/SP.POP.TOTL
Global_annual_mean_temp.csv - Temperature
ohc_levitus_climdsh_seasonal.csv - Ocean Temperture
co2_mm_mlo.csv - Carbon Dioxide
Global_monthly_mean_ch4.csv - Methane
arctic_ice_extent.csv - Arctic Ice
Antartica_mass.csv - Antarctica Mass
Global_sea_levels_rise.csv - Sea Levels
Global_annual_population.csv - Population
earth-s-climate-dashboard.ipynb - Kaggle Python Notebook