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Plz-predict-these-disasters-to-save-lives-around.

Plz-predict-these-disasters-to-save-lives-around.

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Context As a community of responsible people can we focus to predict these disasters to save lives around. People are already going through worse as if that was not enough if a sudden earthquake comes up it becomes hell for them. The United States Geological Survey (USGS) determines the location and size of all significant earthquakes that occur in US.The USGS provides science about the natural hazards that threaten lives and livelihoods; the water, energy, minerals, and other natural resources we rely on; the health of our ecosystems and environment; and the impacts of climate and land-use change. Established: 1879 Location: Reston, United St Content time latitude longitude depth mag magType nst gap dmin rms net id updated place type horizontalError depthError magError magNst status locationSource magSource 1.)time Data Type-Long Integer The time when the event occurred. Times are reported in milliseconds since the epoch ( 1970-01-01T00:00:00.000Z), and do not include leap seconds. In certain output formats, the date is formatted for readability.(We provide time in UTC (Coordinated Universal Time). Seismologists use UTC to avoid confusion caused by local time zones and daylight savings time.) Additional Information 2.)latitude Data Type-Decimal Typical Values-[-90.0, 90.0] Decimal degrees latitude. Negative values for southern latitudes. Additional Information An earthquake begins to rupture at a hypocenter which is defined by a position on the surface of the earth (epicenter) and a depth below this point (focal depth). We provide the coordinates of the epicenter in units of latitude and longitude. The latitude is the number of degrees north (N) or south (S) of the equator and varies from 0 at the equator to 90 at the poles. The longitude is the number of degrees east (E) or west (W) of the prime meridian which runs through Greenwich, England. The longitude varies from 0 at Greenwich to 180 and the E or W shows the direction from Greenwich. Coordinates are given in the WGS84 reference frame. The position uncertainty of the hypocenter location varies from about 100 m horizontally and 300 meters vertically for the best located events, those in the middle of densely spaced seismograph networks, to 10s of kilometers for global events in many parts of the world. 3.)longitude Data Type-Decimal Typical Values-[-180.0, 180.0] Description-Decimal degrees longitude. Negative values for western longitudes. Additional Information An earthquake begins to rupture at a hypocenter which is defined by a position on the surface of the earth (epicenter) and a depth below this point (focal depth). We provide the coordinates of the epicenter in units of latitude and longitude. The latitude is the number of degrees north (N) or south (S) of the equator and varies from 0 at the equator to 90 at the poles. The longitude is the number of degrees east (E) or west (W) of the prime meridian which runs through Greenwich, England. The longitude varies from 0 at Greenwich to 180 and the E or W shows the direction from Greenwich. Coordinates are given in the WGS84 reference frame. The position uncertainty of the hypocenter location varies from about 100 m horizontally and 300 meters vertically for the best located events, those in the middle of densely spaced seismograph networks, to 10s of kilometers for global events in many parts of the world. 4.)depth Data Type-Decimal Typical Values-[0, 1000] Depth of the event in kilometers. Additional Information Sometimes when depth is poorly constrained by available seismic data, the location program will set the depth at a fixed value. For example, 33 km is often used as a default depth for earthquakes determined to be shallow, but whose depth is not satisfactorily determined by the data, whereas default depths of 5 or 10 km are often used in mid-continental areas and on mid-ocean ridges since earthquakes in these areas are usually shallower than 33 km. 5.)mag Data Type-Decimal Typical Values-[-1.0, 10.0] Description-The magnitude for the event. See also magType. Additional Info 6.)magType Data Type-String Typical Values-Md, Ml, Ms, Mw, Me, Mi, Mb, MLg The method or algorithm used to calculate the preferred magnitude for the event. Additional Information See Magnitude Types Table. 7.)nst Data Type-Integer The total number of seismic stations used to determine earthquake location. Additional Information Number of seismic stations which reported P- and S-arrival times for this earthquake. This number may be larger than the Number of Phases Used if arrival times are rejected because the distance to a seismic station exceeds the maximum allowable distance or because the arrival-time observation is inconsistent with the solution. 8.)gap Data Type-Decimal Typical Values-[0.0, 180.0] The largest azimuthal gap between azimuthally adjacent stations (in degrees). In general, the smaller this number, the more reliable is the calculated horizontal position of the earthquake. Earthquake locations in which the azimuthal gap exceeds 180 degrees typically have large location and depth uncertainties. 9.)dmin Data Type-Decimal Typical Values-[0.4, 7.1] Horizontal dis distance from the epicentre to the nearest station (in degrees). 1 degree is approximately 111.2 kilometers. In general, the smaller this number, the more reliable is the calculated depth of the earthquake. 10.)rms Data Type-Decimal Typical Values-[0.13,1.39] The root-mean-square (RMS) travel time residual, in sec, using all weights. This parameter provides a measure of the fit of the observed arrival times to the predicted arrival times for this location. Smaller numbers reflect a better fit of the data. The value is dependent on the accuracy of the velocity model used to compute the earthquake location, the quality weights assigned to the arrival time data, and the procedure used to locate the earthquake. 11.)net Data Type-String Typical Values-ak, at, ci, hv, ld, mb, nc, nm, nn, pr, pt, se, us, uu, uw The ID of a data contributor. Identifies the network considered to be the preferred source of information for this event. 12.)id Data Type-String Typical Values-A (generally) two-character network identifier with a (generally) eight-character network-assigned code. A unique identifier for the event. This is the current preferred id for the event, and may change over time. See the "ids" GeoJSON format property. 13.)updated Data Type-Long Integer Time when the event was most recently updated. Times are reported in milliseconds since the epoch. In certain output formats, the date is formatted for readability. 14.)place Data Type-String Textual description of named geographic region near to the event. 15.)type Data Type-String Typical Values-earthquake, quarry Type of seisseismic event. 16.)horizontalError Data Type-Decimal Typical Values-[0, 100] Uncertainty of reported location of the event in kilometers. Additional Information The horizontal location error, in km, defined as the length of the largest projection of the three principal errors on a horizontal plane. The principal errors are the major axes of the error ellipsoid and are mutually perpendicular. The horizontal and vertical uncertainties in an event's location varie from about 100 m horizontally and 300 meters vertically for the best-located events, those in the middle of densely spaced seismograph networks, to 10s of kilometers for global events in many parts of the world. We report an "unknown" value if the contributing seismic network does not supply uncertainty estimates. 17.)depthError Data Type-Decimal Typical Values-[0, 100] Uncertainty of reported depth of the event in kilometers. Additional Information The depth error, in km, defined as the largest projection of the three principal errors on a vertical line. 18.)magError Data Type-Decimal Typical Values-[0, 100] Uncertainty of reported magnitude of the event. The estimated standard error of the magnitude. The uncertainty corresponds to the specific magnitude type being reported and does not take into account magnitude variations and biases between different magnitude scales. We report an "unknown" value if the contributing seismic network does not supply uncertainty estimates. 19.)magNst Data Type-Integer The total number of seismic stations used to calculate the magnitude for this earthquake. 20.)status Data Type-String Typical Values-automatic, reviewed, deleted Indicates whether the event has been reviewed by a human. Additional Information Status is either automatic or reviewed. Automatic events are directly posted by automatic processing systems and have not been verified or altered by a human. Reviewed events have been looked at by a human. The level of review can range from a quick validity check to a careful reanalysis of the event. 21.)locationSource Data Type-String Typical Values-(ak, at, ci, hv, ld, mb, nc, nm, nn, pr, pt, se, us, uu, uw) The network that originally authored the reported location of this event. 22.)magSource Data Type-String Typical Values-(ak, at, ci, hv, ld, mb, nc, nm, nn, pr, pt, se, us, uu, uw) The network that originally authored the reported magnitude for this event. Inspiration We are facing all kinds of disasters in this year 2020.Can we join as community and work towards atlest getting some predication from this dataset that contains many important factors and inspire the people by sharing the possibility of Data Science as a community.

22 features

timestring13728 unique values
0 missing
latitudenumeric11179 unique values
0 missing
longitudenumeric11906 unique values
0 missing
depthnumeric3397 unique values
0 missing
magnumeric566 unique values
1 missing
magTypestring8 unique values
1 missing
nstnumeric119 unique values
4061 missing
gapnumeric2048 unique values
2976 missing
dminnumeric5968 unique values
4107 missing
rmsnumeric489 unique values
0 missing
netstring14 unique values
0 missing
idstring13729 unique values
0 missing
updatedstring13729 unique values
0 missing
placestring6312 unique values
0 missing
typestring6 unique values
0 missing
horizontalErrornumeric434 unique values
5385 missing
depthErrornumeric813 unique values
0 missing
magErrornumeric1684 unique values
4831 missing
magNstnumeric208 unique values
4507 missing
statusstring2 unique values
0 missing
locationSourcestring14 unique values
0 missing
magSourcestring15 unique values
0 missing

19 properties

13729
Number of instances (rows) of the dataset.
22
Number of attributes (columns) of the dataset.
Number of distinct values of the target attribute (if it is nominal).
25869
Number of missing values in the dataset.
7919
Number of instances with at least one value missing.
12
Number of numeric attributes.
0
Number of nominal attributes.
0
Number of attributes divided by the number of instances.
54.55
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.
57.68
Percentage of instances having missing values.
Average class difference between consecutive instances.
8.56
Percentage of missing values.

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