Data
Consumer-Price-Index-in-Denver-CO

Consumer-Price-Index-in-Denver-CO

active ARFF CC0: Public Domain Visibility: public Uploaded 24-03-2022 by Dustin Carrion
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Context: The Consumer Price Indexes (CPI) program produces monthly data on changes in the prices paid by urban consumers for a representative basket of goods and services. It is a useful way to compare changes in the economy across time. Content: This data covers Jan 1913-May 2017, and is normalized to CPI-U all items 1982-84=100, not seasonally adjusted. Fields include time of measurement and CPI score. Acknowledgements: This dataset was compiled on behalf of the Bureau of Labor Statistics (BLS) via Colorado Department of Labor Employment (CDLE) and hosted on data.colorado.gov. Inspiration: What periods of time have seen the highest/lowest CPI? When has inflation been the worse? Can you predict present CPI?

17 features

stateFipsnumeric2 unique values
0 missing
areanumeric2 unique values
0 missing
areaTypenumeric2 unique values
0 missing
periodnumeric13 unique values
0 missing
periodYearnumeric102 unique values
0 missing
periodTypenumeric3 unique values
0 missing
periodTypeDescriptionstring3 unique values
0 missing
cpinumeric1639 unique values
0 missing
titlestring13 unique values
0 missing
typenumeric13 unique values
0 missing
sourcenumeric1 unique values
0 missing
cpiSourceDescriptionstring1 unique values
0 missing
percentChangeYearnumeric293 unique values
0 missing
percentChangeMonthnumeric113 unique values
218 missing
dataRegionstring2 unique values
0 missing
areaNamestring2 unique values
0 missing
areaDescriptionstring2 unique values
0 missing

19 properties

4349
Number of instances (rows) of the dataset.
17
Number of attributes (columns) of the dataset.
Number of distinct values of the target attribute (if it is nominal).
218
Number of missing values in the dataset.
218
Number of instances with at least one value missing.
11
Number of numeric attributes.
0
Number of nominal attributes.
0
Number of attributes divided by the number of instances.
64.71
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.
5.01
Percentage of instances having missing values.
Average class difference between consecutive instances.
0.29
Percentage of missing values.

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