Census from 1990 california in USA. It’s a data frame with data from 20640 zones from Califórnia. Zones are chosen as being geograficly near, wich one with 1500 persons (mean).
For each zone are provided several informations in the colums from data frame: - longitude e latitude from the geografic centre - median age of houses in the zone (housingMedianAge) - total number of houses in the na zone (totalRooms) - total number of bedrooms in the zone (totalBedrooms) -number of habitants living in the zone (population) - number of house owners in the zone (households) - median salary in the zone (medianIncome) - median value of houses in the zone(medianHouseValue) With this data I have to do an analyses and detect deviant situations in these demografic data. -- View this message in context: http://n4.nabble.com/how-to-solve-a-problem-in-R-this-problem-can-someone-help-me-tp931646p931646.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
