Data
GDP-per-capita-all-countries

GDP-per-capita-all-countries

active ARFF CC0: Public Domain Visibility: public Uploaded 24-03-2022 by Elif Ceren Gok
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Gross Domestic Product (GDP) is the monetary value of all finished goods and services made within a country during a specific period. GDP provides an economic snapshot of a country, used to estimate the size of an economy and growth rate. This dataset contains the GDP based on Purchasing Power Parity (PPP). GDP comparisons using PPP are arguably more useful than those using nominal GDP when assessing a nation's domestic market because PPP takes into account the relative cost of local goods, services and inflation rates of the country, rather than using international market exchange rates which may distort the real differences in per capita income Acknowledgement Thanks to World Databank

32 features

Country_string260 unique values
0 missing
Country_Codestring260 unique values
0 missing
1990numeric207 unique values
51 missing
1991numeric209 unique values
49 missing
1992numeric211 unique values
47 missing
1993numeric213 unique values
45 missing
1994numeric216 unique values
42 missing
1995numeric222 unique values
36 missing
1996numeric222 unique values
36 missing
1997numeric223 unique values
35 missing
1998numeric224 unique values
34 missing
1999numeric225 unique values
33 missing
2000numeric234 unique values
24 missing
2001numeric235 unique values
23 missing
2002numeric236 unique values
22 missing
2003numeric236 unique values
22 missing
2004numeric236 unique values
22 missing
2005numeric236 unique values
22 missing
2006numeric236 unique values
22 missing
2007numeric237 unique values
21 missing
2008numeric238 unique values
20 missing
2009numeric239 unique values
19 missing
2010numeric239 unique values
19 missing
2011numeric241 unique values
17 missing
2012numeric239 unique values
19 missing
2013numeric239 unique values
19 missing
2014numeric238 unique values
20 missing
2015numeric236 unique values
22 missing
2016numeric236 unique values
22 missing
2017numeric236 unique values
22 missing
2018numeric229 unique values
29 missing
2019numeric0 unique values
260 missing
Show all 32 features

19 properties

NumberOfInstances
260
Number of instances (rows) of the dataset.
NumberOfFeatures
32
Number of attributes (columns) of the dataset.
NumberOfClasses
Number of distinct values of the target attribute (if it is nominal).
NumberOfMissingValues
1074
Number of missing values in the dataset.
NumberOfInstancesWithMissingValues
260
Number of instances with at least one value missing.
NumberOfNumericFeatures
30
Number of numeric attributes.
NumberOfSymbolicFeatures
0
Number of nominal attributes.
Dimensionality
0.12
Number of attributes divided by the number of instances.
PercentageOfNumericFeatures
93.75
Percentage of numeric attributes.
MajorityClassPercentage
Percentage of instances belonging to the most frequent class.
PercentageOfSymbolicFeatures
0
Percentage of nominal attributes.
MajorityClassSize
Number of instances belonging to the most frequent class.
MinorityClassPercentage
Percentage of instances belonging to the least frequent class.
MinorityClassSize
Number of instances belonging to the least frequent class.
NumberOfBinaryFeatures
0
Number of binary attributes.
PercentageOfBinaryFeatures
0
Percentage of binary attributes.
PercentageOfInstancesWithMissingValues
100
Percentage of instances having missing values.
AutoCorrelation
Average class difference between consecutive instances.
PercentageOfMissingValues
12.91
Percentage of missing values.
Show all 19 properties

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