<jupyter_start><jupyter_text>NOAA Weather Analysis High Temperature Record Frequency GoalGiven historical data for a weather station in the US, what is the frequency for new high temperature records?>If there is scientific evidence of extreme fluctuations in our weather patterns due to human impact to the environment, then we should be able to identify factual examples of increases in the frequency in extreme temperature changes within the weather station data.There has been a great deal of discussion around climate change and global warming. Since NOAA has made their data public, let us explore the data ourselves and see what insights we can discover.  General Analytical Questions1. For each of the possible 365 days of the year, given a US weather station, can we identify the frequency at which daily High and Low temperature records are broken.2. Does the historical *frequency* of daily temperature records (High or Low) in the US provide statistical evidence of dramatic climate change?3. For a given weather stattion, what is the longest duration of daily temperature record (High or Low) in the US? Approach* This analysis is based on a 15-March-2015 snapshot of the Global Historical Climatology Network (GHCN) dataset.* This analysis leverages **Historical Daily Summary** weather station information that was generated using data derived from [reproducible research](https://github.com/knowledgeanyhow/notebooks/blob/master/noaa/hdta/etl/noaa_hdta_etl.ipynb). This summary data captures information about a given day throughout history at a specific weather station in the US. This dataset contains 365 rows where each row depicts the aggregated low and high record temperatures for a specific day throughout the history of the weather station. * Each US weather station is associated with a single CSV file that contains historical daily summary.* All temperatures reported in Fahrenheit. Analysis1. Select a US weather station using a NOAA station ID.2. Select the maximum threshold of daily high temperature records.<jupyter_code>%matplotlib inline
# Import special helper functions for the IBM Knowledge Anyhow Workbench.
import kawb
# Import processing tools. 
import mywb.noaaquery_tmaxfreq_tools as noaatools
noaatools.noaaquery()<jupyter_output>Historical high temperature record analysis for weather station USC00026250 at PARKER in AZ.
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