Data
Xeno-Canto-Birds-from-France

Xeno-Canto-Birds-from-France

active ARFF CC0: Public Domain Visibility: public Uploaded 23-03-2022 by Elif Ceren Gok
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Context https://www.kaggle.com/c/birdsong-recognition Content This is information captured about birds recording from France Acknowledgements We wouldn't be here without the help of many contributors to https://www.xeno-canto.org/: https://www.xeno-canto.org/contributors Inspiration You can use this data to start exploring the amazing landscape of birds recording. Based on frequency of birds recording in different areas, one can assess the species migration, species evolution as well as impact of various factors like air pollution (birds are an early indicator of pollution)

26 features

idnumeric20851 unique values
0 missing
genstring302 unique values
0 missing
spstring481 unique values
0 missing
sspstring271 unique values
18672 missing
enstring531 unique values
0 missing
recstring549 unique values
0 missing
cntstring1 unique values
0 missing
locstring2476 unique values
47 missing
latnumeric4213 unique values
186 missing
lngnumeric4389 unique values
186 missing
altstring154 unique values
178 missing
typestring1834 unique values
5 missing
urlstring20851 unique values
0 missing
filestring20804 unique values
47 missing
file-namestring20802 unique values
47 missing
sonostring20851 unique values
0 missing
licstring7 unique values
0 missing
qstring6 unique values
0 missing
lengthstring527 unique values
0 missing
timestring1188 unique values
589 missing
datestring2536 unique values
0 missing
uploadedstring1831 unique values
0 missing
alsostring2715 unique values
0 missing
rmkstring5114 unique values
12609 missing
bird-seenstring3 unique values
0 missing
playback-usedstring3 unique values
0 missing

19 properties

20851
Number of instances (rows) of the dataset.
26
Number of attributes (columns) of the dataset.
Number of distinct values of the target attribute (if it is nominal).
32566
Number of missing values in the dataset.
19552
Number of instances with at least one value missing.
3
Number of numeric attributes.
0
Number of nominal attributes.
0
Number of attributes divided by the number of instances.
11.54
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.
93.77
Percentage of instances having missing values.
Average class difference between consecutive instances.
6.01
Percentage of missing values.

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