Data
Rainfall-in-Kerala-1901-2017

Rainfall-in-Kerala-1901-2017

active ARFF Database: Open Database, Contents: Database Contents Visibility: public Uploaded 24-03-2022 by Elif Ceren Gok
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Context Kerala is a state in South India known for its beautiful beaches and backwaters. Also known as 'God's own country' it was named one of the 10 paradises of the world by National Geographic. Due to climate change, Kerala has been affected by unprecedented rainfall/floods in recent years. This dataset was obtained from Indian government's open data initiative (see link below) to understand the trends. Content This raw dataset has the monthly and annual rainfall in millimeters (mms) from the year 1901 to 2017. Acknowledgements I want to thank Govt. of India for opening up this data for further analysis. Inspiration Any interesting observations from the past? Can we forecast what the next few years might look like? Reference source https://data.gov.in/resources/sub-divisional-monthly-rainfall-1901-2017/api

18 features

SUBDIVISION (ignore)string1 unique values
0 missing
YEARnumeric117 unique values
0 missing
JANnumeric86 unique values
0 missing
FEBnumeric95 unique values
0 missing
MARnumeric107 unique values
0 missing
APRnumeric115 unique values
0 missing
MAYnumeric117 unique values
0 missing
JUNnumeric115 unique values
0 missing
JULnumeric115 unique values
0 missing
AUGnumeric115 unique values
0 missing
SEPnumeric116 unique values
0 missing
OCTnumeric115 unique values
0 missing
NOVnumeric115 unique values
0 missing
DECnumeric104 unique values
0 missing
ANNUALnumeric117 unique values
0 missing
JFnumeric105 unique values
0 missing
MAMnumeric113 unique values
0 missing
JJASnumeric115 unique values
0 missing
ONDnumeric117 unique values
0 missing

19 properties

117
Number of instances (rows) of the dataset.
18
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.
18
Number of numeric attributes.
0
Number of nominal attributes.
0.15
Number of attributes divided by the number of instances.
100
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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