IAMconsortium / pyam

Analysis & visualization of energy & climate scenarios
https://pyam-iamc.readthedocs.io/
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Pyam, Statistics class #581

Closed kimjintae9011 closed 2 years ago

kimjintae9011 commented 2 years ago

Dear, Pyam developers

Hi! I'm Jintae Kim from KAIST(South Korea).

In the Pyam manual, I saw 'the Statistics Class', but I can figure out how to use the Statistic Class... It seems that there is no tutorial material for how to produces descriptive statistics (mean, median, ....) Could you introduce me to how to use Statistics functions? It would be very helpful to me.

Best regards,

Jintae Kim. Sustainable Development Center Post Master Research Associate Bldg. No.9, 471, 85 Hoegi-ro, Dongdaemun-gu, Seoul,Korea (02455) T: +82-02-958-3583 E: kimjintea9011@kaist.ac.kr

danielhuppmann commented 2 years ago

Hi @kimjintae9011, thanks for raising this issue!

The Statistics class was developed and used as part of the work for the IPCC SR15, but we didn't spend much time on documenting it or writing tutorials (yet). You can look at how it was used in the SR15 in the open-source notebooks, see a rendered version or the GitHub repository.

You should look in particular at these notebooks:

Hope this helps - and it would be great if you would be willing to start a little tutorial based on what you learn!

kimjintae9011 commented 2 years ago

Dear, Daniel Huppmann,

Thanks, Daniel,  It is really good material and helpful to me.

Have a nice day!

Best,

Jintae Kim

-----Original Message----- From: "Daniel Huppmann" @.> To: "IAMconsortium/pyam" @.>; Cc: "kimjintae9011" @.>; "Mention" @.>; Sent: 2021-09-17 (Fr) 17:07:24 (UTC+09:00) Subject: Re: [IAMconsortium/pyam] Pyam, Statistics class (#581)

Hi @kimjintae9011 https://github.com/kimjintae9011, thanks for raising this issue! The Statistics class was developed and used as part of the work for the IPCC SR15, but we didn't spend much time on documenting it or writing tutorials (yet). You can look at how it was used in the SR15 in the open-source notebooks, see a rendered version https://data.ece.iiasa.ac.at/sr15_scenario_analysis/ or the GitHub repository https://github.com/iiasa/ipcc_sr15_scenario_analysis. You should look in particular at these notebooks: sr15_2.3.3_global_emissions_statisticssr15_2.4.2.1_primary_energy_statisticssr15_2.SM.4_geophysical_characteristicsHope this helps - and it would be great if you would be willing to start a little tutorial based on what you learn! —You are receiving this because you were mentioned.Reply to this email directly, view it on GitHub https://github.com/IAMconsortium/pyam/issues/581#issuecomment-921595487, or unsubscribe https://github.com/notifications/unsubscribe-auth/AIYGKE6UZGLIEJ3YOCLOLDDUCLZLTANCNFSM5EGHSLSQ.Triage notifications on the go with GitHub Mobile for iOS https://apps.apple.com/app/apple-store/id1477376905?ct=notification-email&mt=8&pt=524675 or Android https://play.google.com/store/apps/details?id=com.github.android&referrer=utm_campaign=notification-email&utm_medium=email&utm_source=github.

danielhuppmann commented 2 years ago

Hello @kimjintae9011, hope that this material has been helpful? Would you be interested in writing a simple tutorial for the statistics class, or do you have suggestions for improvements?

danielhuppmann commented 2 years ago

closing as there was no response - please feel free to re-open or start a new issue if necessary