Data
Global-Cause-of-the-Deaths-other-than-diseases

Global-Cause-of-the-Deaths-other-than-diseases

active ARFF CC0: Public Domain Visibility: public Uploaded 24-03-2022 by Dustin Carrion
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Global Cause of the Deaths other than diseases This data was part of the project Global Disease Burden 2017. Data contain the number of deaths within a country and each year along with cause of deaths such conflict and terrorism, famine, pandemic, natural disaster, and Other injuries. These are global causes of deaths other than diseases. Description of the Data The data contains 10 columns and 36 K rows, and the description of the data is as follow.. Country: Contains the Names of the Country ISO_CODE: Is the ISO-3 country identification code Year: Year of the number of Deaths Deaths: Total death of the individuals (including both male and female) Cause: Cause of the death such as Conflict and Terrorism Male POP: Male Population with given Country Female POP: Female Population within given country Total Pop: Total Population with each country GDP: GDP (current US) PCAP: GDP per capita (current US) Inspiration This Data would be helpful to investigate which global cause of death is impacting which country. It would also help to evaluate the rate of change in the causes of death. Data Visualization https://public.tableau.com/views/CausedofDeaths1980-2017-GlobalDiseaseBurden/CausesofDeaths?:language=en:display_count=y:origin=viz_share_link

10 features

Countrystring194 unique values
0 missing
ISO_CODEstring194 unique values
0 missing
Yearnumeric38 unique values
0 missing
Deathsnumeric1640 unique values
0 missing
Causestring5 unique values
0 missing
Male_POPnumeric7034 unique values
8704 missing
Female_POPnumeric7036 unique values
8704 missing
Total_Popnumeric7033 unique values
8704 missing
GDPnumeric6581 unique values
10528 missing
PCAPnumeric6580 unique values
10540 missing

19 properties

36860
Number of instances (rows) of the dataset.
10
Number of attributes (columns) of the dataset.
Number of distinct values of the target attribute (if it is nominal).
47180
Number of missing values in the dataset.
11256
Number of instances with at least one value missing.
7
Number of numeric attributes.
0
Number of nominal attributes.
0
Number of attributes divided by the number of instances.
70
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.
30.54
Percentage of instances having missing values.
Average class difference between consecutive instances.
12.8
Percentage of missing values.

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