This repo includes a brief internal report for a short analysis of daily temperature records from >100 stations. The data is "melted" to a long format for ease of analysis, and then smoothed through a 3-window moving average.

The code for time series analysis in this notebook was re-adapted, modified, and/or expanded where possible from Jason Brownlee's amazing blog, and can be checked out at: -[https://machinelearningmastery.com/moving-average-smoothing-for-time-series-forecasting-python/]

"Disclaimer": Data for this notebook is proprietary, so I cannot share or describe it in detail. A few entries are shown in the notebook for reference purposes only.