Data
Boston-Weather-Data-Jan-2013---Apr-2018

Boston-Weather-Data-Jan-2013---Apr-2018

active ARFF CC0: Public Domain Visibility: public Uploaded 24-03-2022 by Dustin Carrion
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  • Computer Systems Machine Learning
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Having just moved to Boston last fall, I wanted to know whether the severe winter weather I experienced was normal based on historical data, or if there are any patterns to when Boston gets heavy snowfall and wind. Dataset contains highs, lows, and averages of temperature, dew point, wind speeds, sea level pressure, and precipitation levels for every day from 1/1/2013 - 4/8/2018 inclusive. All data is publicly available in its entirety on the Weather Underground website - this is a collation of data over several years, that is difficult to see all at once on the Weather Underground site. I simply cleaned up the data by breaking out the month and year into their own columns and condensing the column headers. All data can be found here: https://www.wunderground.com/history/airport/KBOS/2018/1/1/DailyHistory.html?reqdb.zip=reqdb.magic=reqdb.wmo= It would be interesting to see this weather data compared with weather data from other locations to see if there are any corresponding patterns. Feel free to augment this dataset if you need more updated information or older information!

24 features

Yearnumeric11 unique values
0 missing
Monthnumeric12 unique values
0 missing
Daynumeric31 unique values
0 missing
High_Temp_(F)numeric88 unique values
0 missing
Avg_Temp_(F)numeric86 unique values
0 missing
Low_Temp_(F)numeric87 unique values
0 missing
High_Dew_Point_(F)numeric87 unique values
0 missing
Avg_Dew_Point_(F)numeric89 unique values
0 missing
Low_Dew_Point_(F)numeric93 unique values
0 missing
High_Humidity_(%)numeric62 unique values
0 missing
Avg_Humidity_(%)numeric75 unique values
0 missing
Low_Humidity_(%)numeric83 unique values
0 missing
High_Sea_Level_Press_(in)numeric141 unique values
0 missing
Avg_Sea_Level_Press_(in)numeric153 unique values
0 missing
Low_Sea_Level_Press_(in)numeric166 unique values
0 missing
High_Visibility_(mi)numeric11 unique values
0 missing
Avg_Visibility_(mi)numeric11 unique values
0 missing
Low_Visibility_(mi)numeric11 unique values
0 missing
High_Wind_(mph)numeric40 unique values
0 missing
Avg_Wind_(mph)numeric30 unique values
0 missing
High_Wind_Gust_(mph)numeric65 unique values
0 missing
Snowfall_(in)numeric90 unique values
0 missing
Precip_(in)numeric171 unique values
0 missing
Eventsstring4 unique values
0 missing

19 properties

3749
Number of instances (rows) of the dataset.
24
Number of attributes (columns) of the dataset.
Number of distinct values of the target attribute (if it is nominal).
0
Number of missing values in the dataset.
0
Number of instances with at least one value missing.
23
Number of numeric attributes.
0
Number of nominal attributes.
0.01
Number of attributes divided by the number of instances.
95.83
Percentage of numeric attributes.
Percentage of instances belonging to the most frequent class.
0
Percentage of nominal attributes.
Number of instances belonging to the most frequent class.
Percentage of instances belonging to the least frequent class.
Number of instances belonging to the least frequent class.
0
Number of binary attributes.
0
Percentage of binary attributes.
0
Percentage of instances having missing values.
Average class difference between consecutive instances.
0
Percentage of missing values.

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