Data Analysis of TZ-SAM Dataset#272
Conversation
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@peterdudfield @zakwatts i have done some data analysis on the tz sam dataset. Could you please review and give some feedback ? |
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@zakwatts are you ok to look at this? |
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Hi @hrsvrn, would you be able to repush your notebook but with the output cells cleared |
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yes sure! @zakwatts give me a few mins |
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@zakwatts i have cleared the output cells.. I noticed that i have mistakenly got the name of the jupyter notebook to be wrong. Can i rename it after you have reviewed the changes? |
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any updates on this @zakwatts ? |
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Hi @hrsvrn, please go ahead and rename the file. Then I'll run it locally and be able to give it a review. |
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@zakwatts I have renamed the file... requesting you ti kindly check and give valuable feedback |
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@zakwatts i have also added a script that downloads the dataset in the rightplace reccomended by @peterdudfield |
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Its looking really good. Thanks for doing this analysis. Could you move the current tz-sam-analysis.ipynb notebook into the current data_analysis folder located here /Users/zakwatts/Coding/OCF/Open-Source-Quartz-Solar-Forecast/quartz_solar_forecast/dataset/dataset_analysis. And update corresponding paths in the notebook if needed.
…o the download script
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@peterdudfield any updates on this one? |
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@peterdudfield if i am pushing my notebook should i do with the output as well? |
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@zakwatts @peterdudfield any updates on this one? |
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It looks great! I've ran it locally again and the analysis is good. I like the map of the locations and the look it capacity distributions. Thanks! |
3 participants
Pull Request
Description
The Jupyter notebook in the quartz_solar_forecast/dataset/TZ-SAM presents a comprehensive data analysis of the TZ-SAM dataset, which contains information about solar facilities worldwide. The notebook is structured to explore key statistics, patterns, and relationships within the dataset.
The notebook begins by importing essential libraries for data analysis, including pandas for data manipulation, matplotlib for visualization, and cartopy for geographical plotting.
I have not included the csv at the moment because it is too large (95,000 records)
Checklist: