Solar Power Generation

  By: Fernando Coye  
  Date: 10/01/2020

The purpose of this project is to perform exploratory analysis and data visualization of Solar Power Generation data for a plant located in India. The dataset used for this project was obtained from https://www.kaggle.com/anikannal/solar-power-generation-data. The Numpy and Pandas modules were used to perform the exploratory analysis on the datasets. Meanwhile, the Matplotlib and Seaborn modules were used to perform data visualization to help communicate results and gain further insights. This initiative is to fulfill a project requirement in the famous "Zero to Pandas" course, http://zerotopandas.com.

project_name = "Solar Power Generation"

!pip install jovian --upgrade -q

import jovian

jovian.commit(project=project_name)

[jovian] Attempting to save notebook..
[jovian] Updating notebook "fecoye/solar-power-generation" on https://jovian.ml/
[jovian] Uploading notebook..
[jovian] Capturing environment..

[jovian] Error: Failed to read Anaconda environment using command: "conda env export -n base --no-builds"

[jovian] Committed successfully! https://jovian.ml/fecoye/solar-power-generation

'https://jovian.ml/fecoye/solar-power-generation'