Data Analysis Over 10 years of hourly energy consumption using Python Seaborn Pandas By soumilshah1995 December 18, 2020 Data Science 48 data analytics, data science, data scientist, data scientists, data visualization, deep learning python, jupyter notebook, machine learning, matplotlib, neural networks python, nlp python, numpy python, python data, python pandas, python seaborn, python sklearn, tensor flow python, tips tricks python 6 Comments [ad_1] code: https://github.com/soumilshah1995/Data-Analysis-Over-10-years-of-hourly-energy-consumption-data-from-PJM-in-Megawatts/blob/master/Exp3%20.ipynb Source [ad_2] Previous article Next article Comment List soumilshah1995 December 18, 2020 Damn mate! In less than 10 minutes you helped me so much! Thanks so much Reply soumilshah1995 December 18, 2020 Thanks for this video Reply soumilshah1995 December 18, 2020 Hi ! I would like to learn energy modelling and energy analysis using python. Could you please recommend me how should I get started ? Reply soumilshah1995 December 18, 2020 do you also have videos with other projects about energy analytics? Reply soumilshah1995 December 18, 2020 hello i have some questions about using int slider with this data und with bar charts if you can do a video about that thanks alot i have learned alot from you Reply soumilshah1995 December 18, 2020 Nice, can you help me with problem after step 2: Read the Dataset: I wrote same code as you but received NameError. <NameError: name 'pd' is not defined. > Although I defined pandas as pd at the beginning of code. Thanks 🙂 Reply Write a comment Cancel reply Save my name, email, and website in this browser for the next time I comment.