Exploratory Data Analysis - Solar Power Generation

Exploratory data analysis is performed using Python to analyze datasets obtained from solar power plants. Data is analyzed to find relations between the different values, which factors affect solar power generation, and use the data to figure out need for repair, maintenance or replacement of equipment.
Dataset used : www.kaggle.com...
Analysis is performed using Jupyter Notebook.

[@rohitingale7044]

DEAR shubham bro this the very good analysis project for us and its usefull for electrical student for those who are built carrer in data analysis for electrical engg . plz also creat more project like this for the beginers .thx and plz creat more videos for us

[@resulalekberli6345]

You literally saved my life man. Big thanks for your tutorial

[@amitchaudhary3998]

Hi there
temp_gen1.groupby(["TIME","DAY"])["DC_POWER"].mean().unstack().plot(sharex = True,subplots = True,layout=(17,6),figsize = (20,30)).........
can u please tell me the code for this line as it is not visible here in the video

[@apoorvagopal5023]

@@amitchaudhary3998 me too. it would be great if it is made visible. if you find the code please let me know

[@akshaydamke6237]

Sir,how can we connect to you? Can you please share linkedin profile with us.I have some queries.

[@mohdfaaiz1679]

Hii great work
I Have small doubt
temp_gen1.groupby(["TIME","DAY"])["DC_POWER"].mean().unstack().plot(sharex = True,subplots = True,layout=(17,6),figsize = (20,30))._______
can u please tell me the code for this line as it is not visible

[@amitchaudhary3998]

i also need the same did u get the last lines of code

[@satyampal5994]

I didn't get it