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Solar Power Generation Exploratory Data Analysis with Pandas

For the course project assignment of the course Data Analysis with Python: from zero to Pandas, I decided to download a series of datasets on the Kaggle platform of solar power generation plants in order to perform exploratory data analysis. This a dataset composed of two tables from two solar power plants located in India, and also two other tables with weather factors measurements from sensors, such as ambient temperature, solar cell module temperature and irradiation intensity levels on each module. Here it is the link fo the Kaggle dataset repository: https://www.kaggle.com/anikannal/solar-power-generation-data

As a first step, let's upload our Jupyter notebook to Jovian.ml.

project_name = "zerotopandas-course-project-solar_power-generation-exploratory_data_analysis" 
!pip install jovian --upgrade -q
import jovian
jovian.commit(project="zerotopandas-course-project-solar_power-generation-exploratory_data_analysis" )
[jovian] Creating a new project "akshaysable734/zerotopandas-course-project-solar_power-generation-exploratory_data_analysis" [jovian] Committed successfully! https://jovian.ai/akshaysable734/zerotopandas-course-project-solar-power-generation-exploratory-data-analysis