An example using Anaconda

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1

dear amaconda_community_all

The graph below is a graph that processed the power demand data provided by Tokyo Electric Power Company(TEPCO) in Japan and predicted for 90 days.

forecast
forecast1000×600 161 KB

The only package I’m using is “Profit”, but I’m getting very accurate data.

forecast_cmp
forecast_cmp900×900 66.4 KB

There are very useful packages, so they are also useful for power demand forecasting and power supply planning.

best regards
ktsh.tanaka.2020

2

dear anaconda_community_all

The graph below is based on monkeypox infected data from ourworldindata.org (URL: https://raw.githubusercontent.com/globaldothealth/monkeypox/main/timeseries-confirmed.csv), using the “Prophet” module. This is what I drew.
Notice how it accurately guesses the number of infected people with an eerie degree of accuracy.

monkey_pox
monkey_pox1000×600 39.9 KB

Best Regards.
ktsh.tanaka.2020