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Data Description¶

Data was provided by the Climate at a Glance Analysis program run by the NOAA Natironal Center for Environmental Information. This data set was taken in Fairbanks, Alaska and represents the 12 month average temperatures on a yearly basis from 1935 - 2022 and ranges from 22.5 - 33.1 degrees Fahrenheit. It was amalgrated from weather stations that are part of the Global Historical Climatology Network.

Data Description¶

Data was provided by the Climate at a Glance Analysis program run by the NOAA Natironal Center for Environmental Information. This data set was taken in Fairbanks, Alaska and represents the 12 month average temperatures on a yearly basis from 1935 - 2022 and ranges from 58 - 66 degrees Fahrenheit. It was amalgrated from weather stations that are part of the Global Historical Climatology Network.

Site Description¶

Fairbanks, Alaska is a moderately sized city in the interior of the state of Alaska with a population of about 32,000. Its coordinates are 64°50′37″N 147°43′23″W. Its climate is a mix between humid continental and subartic. It has an elevation of 446 ft above sea level.

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Image source: Aerial view of Fairbanks, Alaska from Wikimedia Commmons_(cropped).jpg)

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import hvplot.pandas
import pandas as pd

#Assigns csv containting dataset to variable
Fairbanks_temp_URL = (
    'https://www.ncei.noaa.gov/access/monitoring/climate-at-a-glance/'
    'city/time-series/USW00026411/tavg/12/8/1895-2023.csv') 

#Creates dataframe loading var for csv defined previously, uses 3 rows in csv for header data, and names columns 
Fairbanks_DataFrame = pd.read_csv(Fairbanks_temp_URL, 
                header = 3, 
                names = [ 'year', 'Temp Value (F)'])

#Runs method to clean up year data column to display year only
Fairbanks_DataFrame.year = pd.to_datetime(Fairbanks_DataFrame.year, format='%Y%m').dt.year

#Creates function that returns argument passed through standard conversion formula
def convert_Fahrenheit_to_Celsius(temperature):
    return (temperature - 32) * 5 / 9 


#creates new column with values converted from fahrenheit column
Fairbanks_DataFrame['Temperature (C)'] = Fairbanks_DataFrame['Temp Value (F)'].apply(convert_Fahrenheit_to_Celsius)

Maximum Yearly Average Temperature Values in Fairbanks, Alaska from 1935 - 2022¶

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Fairbanks_DataFrame.hvplot(x='year', y='Temp Value (F)', title='Yearly Avg Temp over Time', ylabel='Temperature (F)', xlabel='Year', width=800, height=400, fontsize=20, color='orange' )

/opt/conda/lib/python3.10/site-packages/holoviews/core/data/pandas.py:39: FutureWarning: Series.__getitem__ treating keys as positions is deprecated. In a future version, integer keys will always be treated as labels (consistent with DataFrame behavior). To access a value by position, use `ser.iloc[pos]`
  return dataset.data.dtypes[idx].type
/opt/conda/lib/python3.10/site-packages/holoviews/core/data/pandas.py:39: FutureWarning: Series.__getitem__ treating keys as positions is deprecated. In a future version, integer keys will always be treated as labels (consistent with DataFrame behavior). To access a value by position, use `ser.iloc[pos]`
  return dataset.data.dtypes[idx].type
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