R Dataset / Package Ecdat / Housing
| Attachment | Size |
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| dataset-66589.csv | 27.38 KB |
| R Dataset Help |
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On this Picostat.com statistics page, you will find information about the Housing data set which pertains to Sales Prices of Houses in the City of Windsor . The Housing data set is found in the Ecdat R package. You can load the Housing data set in R by issuing the following command at the console data("Housing"). This will load the data into a variable called Housing. If R says the Housing data set is not found, you can try installing the package by issuing this command install.packages("Ecdat") and then attempt to reload the data. If you need to download R, you can go to the R project website. You can download a CSV (comma separated values) version of the Housing R data set. The size of this file is about 28,038 bytes. |
| Documentation |
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Sales Prices of Houses in the City of WindsorDescriptiona cross-section from 1987 number of observations : 546 observation : goods country : Canada Usagedata(Housing) FormatA dataframe containing :
SourceAnglin, P.M. and R. Gencay (1996) “Semiparametric estimation of a hedonic price function”, Journal of Applied Econometrics, 11(6), 633-648. ReferencesVerbeek, Marno (2004) A Guide to Modern Econometrics, John Wiley and Sons, chapter 3. Journal of Applied Econometrics data archive : http://qed.econ.queensu.ca/jae/. See Also
-- Dataset imported from https://www.r-project.org. |
| Curated Data | File Size |
|---|---|
| R Dataset / Package boot / acme | 1.59 KB |
| R Dataset / Package boot / aids | 2.88 KB |
| R Dataset / Package boot / aircondit | 45 bytes |
| R Dataset / Package boot / aircondit7 | 82 bytes |
| R Dataset / Package boot / amis | 77.2 KB |
| All Public Datasets | File Size |
|---|---|
| Test | 394 bytes |
| Q1 | 332 bytes |
| prova_Correlatio | 593 bytes |
| profva | |
| test | 332 bytes |
| R Output | Date |
|---|---|
| Picostat Output - Simple Linear Regression | May 16, 2019 |
| Picostat Output - Arithmetic Mean | May 16, 2019 |
| Picostat Output - Bar Plot for One Variable | May 16, 2019 |
| Picostat Output - Visual Summaries | May 16, 2019 |
| Picostat Output - Dotplot | May 16, 2019 |
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