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Analyzing the temperature throughout the years in Ann Arbor, Michigan. Data from The National Centers for Environmental Information (NCEI).

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AnnArbor-temperature-matplotlib

Description

An NOAA dataset has been stored in the file fb441e62df2d58994928907a91895ec62c2c42e6cd075c2700843b89.csv. This is a dataset from The National Centers for Environmental Information (NCEI) Daily Global Historical Climatology Network (GHCN-Daily).

.csv format

  • id : station identification code
  • date : date in YYYY-MM-DD format (e.g. 2012-01-24 = January 24, 2012)
  • element : indicator of element type
    • TMAX : Maximum temperature (tenths of degrees C)
    • TMIN : Minimum temperature (tenths of degrees C)
  • value : data value for element (tenths of degrees C)

The task

This is a Data Visualization exercise from the course "Applied Plotting, Charting & Data Representation in Python". One should analyze the temperature throughout the years in Ann Arbor, Michigan.

One must:

  1. Read the documentation and familiarize yourself with the dataset, then write some python code which returns a line graph of the record high and record low temperatures by day of the year over the period 2005-2014. The area between the record high and record low temperatures for each day should be shaded.
  2. Overlay a scatter of the 2015 data for any points (highs and lows) for which the ten year record (2005-2014) record high or record low was broken in 2015.
  3. Watch out for leap days (i.e. February 29th), it is reasonable to remove these points from the dataset for the purpose of this visualization.
  4. Make the visual nice! Leverage principles from the first module in this course when developing your solution. Consider issues such as legends, labels, and chart junk.

Result

plot-image

About

Analyzing the temperature throughout the years in Ann Arbor, Michigan. Data from The National Centers for Environmental Information (NCEI).

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