- Measure CO2 levels on an annual basis to predict new CO2 levels
- converted data to datetime for exploration and modeling
- Seasonal trends include:
- high co2 levels: December / January
- low co2 levels: April / May
- CO2 levels trend upwards starting late 1980's
- CO2 levels begin trending downwards in the late 2000's
- Recommend looking at identifiers contributing to lower co2 emissions both seasonally and anually with downward trends
- Github Repo w/ Final Notebook and README
- Project summary and writeup for your resume or other professional portfolio pieces
- Fossil fuel use is the primary source of CO2. CO2 can also be emitted from direct human-induced impacts on forestry and other land use, such as through deforestation, land clearing for agriculture, and degradation of soils. Likewise, land can also remove CO2 from the atmosphere through reforestation, improvement of soils, and other activities.
| Column Name | Renamed | Info |
|---|---|---|
| YYYYMM | date | Year, Month, Day (Int64) |
| value | co2 | Carbon dioxide in million metric tons (Float64) |
- I want to use the United States co2 data, I was able to find both annual and monthly co2 data for the US.
- It looks like I can set a datetime index and run some time series analysis
- I will need to take care of null values and drop unneeded columns
- I have a population column that I can use in comparison / percantage
- I want to look at trends / impacts of co2 emmissions in the US
- I want to compare these trends / impacts to other values in my data to see if they are related / correlation
- I want to see if I can predict new trends /identifiers that contribute to increasing / decreasing co2 levels
- Impact of alternative fuel sources / wind / water / sun / electric ?
- Find annual co2 data
- Measure annual co2 emissions
- Increases / Decreases
- Relation or direct relation
- Use these drivers to predict future co2 emissions by country
- I ran two seperate notebooks with the monthly and annual co2 data
- I was able to model the annual data and Holts had the lowest RMSE
- I was able to model some of the monthly data and Simple Average had the lowest RMSE
- As far as timeframe, there was not a signigicant change in co2 levels until the late 1900's
- I feel that more measure can be done in the most recent years and would like to do more comparison
- The most recent co2 levels are downward trending and I would like to identify drivers of this downward trend
- Does covid-19 have any affect on the most recent co2 levels and being lower ?
Goal: leave this section with (at least the outline of) a plan for the project documented in your README.md file.
Goal: Get the US CO2 data from a local .csv and import into my notebook to use.
Goal: leave this section with a dataset that is split into train, validate, and test ready to be analyzed. Make sure data types are appropriate and missing values have been addressed, as have any data integrity issues.
Goal: The findings from your analysis should provide you with answers to the specific questions and summarize your takeaways and conclusions.
Goal: Forecasting using the following methods: Last observed value, Simple average, Moving average, Holt's Linear Trend, Previous cycle
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Converted data to datetime for exploration and modeling
-
Ran an annual notebook and a monthly notebook for co2 levels
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Seasonal trends include:
- high co2 levels: December / January
- low co2 levels: April / May
-
CO2 levels trend upwards starting late 1980's
-
CO2 levels begin trending downwards in the late 2000's
-
Simple Average had the lowest RMSE in predicting monthly co2 levels
-
Holt's had the lowest RMSE in predicting annual co2 levels
- It is apparent that CO2 levels have continued to increase especially in the late 1980's with the highest levels topping off in the late 2000's. There are seasonal trends of CO2 levels which are consistant on an annual basis. The newest data shows CO2 levels now trending downward while maintaining the seasonal trends.
With more time I would like to:
a. Explore additional countries CO2 levels and compare them to the US CO2 levels
b. Look at different contributers of CO2 emissions and identifying relations
c. Take into account energy sources and how the relate to CO2 emissions
d. Create a dashboard on Tableau to express country CO2 emissions over time
Download the U.S. CO2 Emission data from the sources listed below and save as a .csv on your local device
Make a copy of my final notebook, run each cell, and adjust any parameters as desired