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Here is the data link: https://github.com/vkgnandhu177/Communities-and-Crime-Unnormalized-Data---Crime-US/blob/master/README.md by using above link it is data set of crime data. i need help into complete R-coding of above

Here is the data link:

https://github.com/vkgnandhu177/Communities-and-Crime-Unnormalized-Data---Crime-US/blob/master/README.md

by using above link it is data set of crime data.

i need help into complete R-coding of above data set which is in google drive please open the link.

The course project uses the data set: Communities and Crime Un-normalized Data Set (see below)

Here is the data link:https://github.com/vkgnandhu177/Communities-and-Crime-Unnormalized-Data---Crime-US/blob/master/README.md

This data set has 147 attributes and 2215 instances or observations. This data set is relatively recent, March 2, 2011. The data set will require pre-processing before beginning data mining. For example, missing data is designated by a "?".

Help required.

Pre-Processing Information:

can use as many appropriate variables as you want, you should take into account at least: population; ethnicity; age; income; and, education. Note that you may have to pre-process the data set to obtain these variables or some set of equivalent normalized variables.

Although you can use as many appropriate variables as you want, you should take into account at least: population; ethnicity; age; income; and, education. Note that you may have to pre-process the data set to obtain these variables or some set of equivalent normalized variables.

  • what is the problem you are trying to solve or question you are trying to answer?
  • work do you plan to do in the project?
  • algorithms/techniques/models plan to use/develop? Be as specific as can?
  • How will evaluate what have done?
  • What do expect to submit/accomplish by the end of the project?
  • Clear research question: exploratory data analysis including but not limited to the use of either base, lattice or ggplot2 for plotting
  • Results: depending on the chosen method, important results should be reported such as R-adj sq, ROC, accuracy, goodness of fitness
  • Conclusion

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