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mauna-loa-atmospheric-co2

mauna-loa-atmospheric-co2

active ARFF Public Domain (CC0) Visibility: public Uploaded 30-08-2018 by Willis
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Weekly carbon-dioxide concentration averages derived from continuous air samples for the Mauna Loa Observatory, Hawaii, U.S.A.

These weekly averages are ultimately based on measurements of 4 air samples per hour taken atop intake lines on several towers during steady periods of CO2 concentration of not less than 6 hours per day; if no such periods are available on a given day, then no data are used for that day. The _Weight_ column gives the number of days used in each weekly average. _Flag_ codes are explained in the NDP writeup, available electronically from the [home page](http://cdiac.ess-dive.lbl.gov/ftp/trends/co2/sio-keel-flask/maunaloa_c.dat) of this data set. CO2 concentrations are in terms of the 1999 calibration scale (Keeling et al., 2002) available electronically from the references in the NDP writeup which can be accessed from the home page of this data set.

### Feature Descriptions _co2_: average co2 concentration in ppvm
_year_: year of concentration measurement
_month_: month of concentration measurement
_day_: day of month of concentration measurement
_weight_: number of days used in each weekly average
_flag_: flag code
_station_: station code

Author: Carbon Dioxide Research Group, Scripps Institution of Oceanography, University of California-San Diego, La Jolla, California, USA 92023-0444
Source: [original](http://cdiac.ess-dive.lbl.gov/ftp/trends/co2/sio-keel-flask/maunaloa_c.dat) - September 2004

7 features

co2 (target)numeric581 unique values
0 missing
yearnumeric44 unique values
0 missing
monthnumeric12 unique values
0 missing
daynumeric31 unique values
0 missing
weightnumeric7 unique values
0 missing
flagnumeric1 unique values
0 missing
stationnominal1 unique values
0 missing
Show all 7 features

62 properties

NumberOfInstances
2225
Number of instances (rows) of the dataset.
NumberOfFeatures
7
Number of attributes (columns) of the dataset.
NumberOfClasses
0
Number of distinct values of the target attribute (if it is nominal).
NumberOfMissingValues
0
Number of missing values in the dataset.
NumberOfInstancesWithMissingValues
0
Number of instances with at least one value missing.
NumberOfNumericFeatures
6
Number of numeric attributes.
NumberOfSymbolicFeatures
1
Number of nominal attributes.
Quartile1MutualInformation
First quartile of mutual information between the nominal attributes and the target attribute.
PercentageOfBinaryFeatures
0
Percentage of binary attributes.
PercentageOfInstancesWithMissingValues
0
Percentage of instances having missing values.
PercentageOfMissingValues
0
Percentage of missing values.
PercentageOfNumericFeatures
85.71
Percentage of numeric attributes.
PercentageOfSymbolicFeatures
14.29
Percentage of nominal attributes.
Quartile1AttributeEntropy
First quartile of entropy among attributes.
Quartile1KurtosisOfNumericAtts
-1.2
First quartile of kurtosis among attributes of the numeric type.
Quartile1MeansOfNumericAtts
4.36
First quartile of means among attributes of the numeric type.
StdvNominalAttDistinctValues
0
Standard deviation of the number of distinct values among attributes of the nominal type.
Quartile1SkewnessOfNumericAtts
-0.63
First quartile of skewness among attributes of the numeric type.
Quartile1StdDevOfNumericAtts
1.04
First quartile of standard deviation of attributes of the numeric type.
Quartile2AttributeEntropy
Second quartile (Median) of entropy among attributes.
Quartile2KurtosisOfNumericAtts
-1.19
Second quartile (Median) of kurtosis among attributes of the numeric type.
Quartile2MeansOfNumericAtts
11.15
Second quartile (Median) of means among attributes of the numeric type.
Quartile2MutualInformation
Second quartile (Median) of mutual information between the nominal attributes and the target attribute.
Quartile2SkewnessOfNumericAtts
-0.03
Second quartile (Median) of skewness among attributes of the numeric type.
Quartile2StdDevOfNumericAtts
6.12
Second quartile (Median) of standard deviation of attributes of the numeric type.
Quartile3AttributeEntropy
Third quartile of entropy among attributes.
Quartile3KurtosisOfNumericAtts
-0.07
Third quartile of kurtosis among attributes of the numeric type.
Quartile3MeansOfNumericAtts
750.11
Third quartile of means among attributes of the numeric type.
Quartile3MutualInformation
Third quartile of mutual information between the nominal attributes and the target attribute.
Quartile3SkewnessOfNumericAtts
0.11
Third quartile of skewness among attributes of the numeric type.
Quartile3StdDevOfNumericAtts
13.62
Third quartile of standard deviation of attributes of the numeric type.
AutoCorrelation
0.61
Average class difference between consecutive instances.
MeanMeansOfNumericAtts
391.38
Mean of means among attributes of the numeric type.
ClassEntropy
Entropy of the target attribute values.
Dimensionality
0
Number of attributes divided by the number of instances.
EquivalentNumberOfAtts
Number of attributes needed to optimally describe the class (under the assumption of independence among attributes). Equals ClassEntropy divided by MeanMutualInformation.
MajorityClassPercentage
Percentage of instances belonging to the most frequent class.
MajorityClassSize
Number of instances belonging to the most frequent class.
MaxAttributeEntropy
Maximum entropy among attributes.
MaxKurtosisOfNumericAtts
1.03
Maximum kurtosis among attributes of the numeric type.
MaxMeansOfNumericAtts
1980.03
Maximum of means among attributes of the numeric type.
MaxMutualInformation
Maximum mutual information between the nominal attributes and the target attribute.
MaxNominalAttDistinctValues
1
The maximum number of distinct values among attributes of the nominal type.
MaxSkewnessOfNumericAtts
0.22
Maximum skewness among attributes of the numeric type.
MaxStdDevOfNumericAtts
17
Maximum standard deviation of attributes of the numeric type.
MeanAttributeEntropy
Average entropy of the attributes.
MeanKurtosisOfNumericAtts
-0.75
Mean kurtosis among attributes of the numeric type.
NumberOfBinaryFeatures
0
Number of binary attributes.
MeanMutualInformation
Average mutual information between the nominal attributes and the target attribute.
MeanNoiseToSignalRatio
An estimate of the amount of irrelevant information in the attributes regarding the class. Equals (MeanAttributeEntropy - MeanMutualInformation) divided by MeanMutualInformation.
MeanNominalAttDistinctValues
1
Average number of distinct values among the attributes of the nominal type.
MeanSkewnessOfNumericAtts
-0.21
Mean skewness among attributes of the numeric type.
MeanStdDevOfNumericAtts
7.19
Mean standard deviation of attributes of the numeric type.
MinAttributeEntropy
Minimal entropy among attributes.
MinKurtosisOfNumericAtts
-1.21
Minimum kurtosis among attributes of the numeric type.
MinMeansOfNumericAtts
0
Minimum of means among attributes of the numeric type.
MinMutualInformation
Minimal mutual information between the nominal attributes and the target attribute.
MinNominalAttDistinctValues
1
The minimal number of distinct values among attributes of the nominal type.
MinSkewnessOfNumericAtts
-1.22
Minimum skewness among attributes of the numeric type.
MinStdDevOfNumericAtts
0
Minimum standard deviation of attributes of the numeric type.
MinorityClassPercentage
Percentage of instances belonging to the least frequent class.
MinorityClassSize
Number of instances belonging to the least frequent class.
Show all 62 properties

10 tasks

Supervised Regression on mauna-loa-atmospheric-co2
0 runs - estimation_procedure: 33% Holdout set - target_feature: co2
Clustering on mauna-loa-atmospheric-co2
0 runs - estimation_procedure: 50 times Clustering
Clustering on mauna-loa-atmospheric-co2
0 runs - estimation_procedure: 50 times Clustering
Clustering on mauna-loa-atmospheric-co2
0 runs - estimation_procedure: 50 times Clustering
Clustering on mauna-loa-atmospheric-co2
0 runs - estimation_procedure: 50 times Clustering
Clustering on mauna-loa-atmospheric-co2
0 runs - estimation_procedure: 50 times Clustering
Clustering on mauna-loa-atmospheric-co2
0 runs - estimation_procedure: 50 times Clustering
Clustering on mauna-loa-atmospheric-co2
0 runs - estimation_procedure: 50 times Clustering
Clustering on mauna-loa-atmospheric-co2
0 runs - estimation_procedure: 50 times Clustering
Clustering on mauna-loa-atmospheric-co2
0 runs - estimation_procedure: 50 times Clustering
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