This project is a part of the guided project at Coursera . Link of the orginal course and resources below.
https://coursera.org/share/50af5ad71b3de483904b59b08732960f
Tasks in the project: Task1: Importing our dataset Task2: Data Preprocessing Task3: Analysing global temperature from 1995 to 2019 Task4: Comparing yearly average temperature of different regions over time Task5: Monthly average temperature in India Task6: Monthly average temperature in Canada Task7: Visualizing temeperature trend in the most affected and the least affected regions
In this Notebook I learned about different data visualization techniques for time series analysis.I completed different tasks for a better understanding, exploration and anlysis, while working with time series datasets.
##Please Note My Plotly graphs are not being rendered on Github. Please use nb viewer to checkout the interactive plots and the notebook in its entirety using below link.
nb viewer - https://nbviewer.org
permalink of my Jupyter notebook(paste this link into the nb viewer url bar, and click go! ): https://github.com/nishadingale/gw_Time_Series/blob/b57ddd9fc434b2c45fc4ed5d2606395d3a864a30/gw.ipynb