Hi David, > Please find the attached data sample.
No. Nothing attached. Please read the Rhelp Info page and the Posting Guide. *I attached it. Anyway I have attached it again (sample train.xlsx).* Who is assigning you this task? Homework? (Read the Posting Guide.) *This is my new job role so I have to do that. I know some basic R * > 1. How to Identify features (names) that have all zeros? That's generally pretty simple if "names" refers to columns in a data frame. *You mean such as something like names(data.nrow(means==0))* > 2. How to remove features that have all zeros from the dataset? But maybe you mean to process by rows? *in a column(feature) * > 3. How to identify features (names) that have outliers such as 99999,-1 in > the data frame. *Please refer to the attached excel file* > 4. How to remove outliers? You could start by defining "outliers" in something other than vague examples. If this is data from a real-life data gathering effort, then defining outliers would start with an explanation of the context. *By looking at data I need to find the outliers* *Thanks * On Thu, Mar 31, 2016 at 12:20 PM, David Winsemius <dwinsem...@comcast.net> wrote: > > > On Mar 30, 2016, at 3:56 PM, Norman Pat <normanma...@gmail.com> wrote: > > > > Hi team > > > > I am new to R so please help me to do this task. > > > > Please find the attached data sample. > > No. Nothing attached. Please read the Rhelp Info page and the Posting > Guide. > > > But in the original data frame I > > have 350 features and 400000 observations. > > > > I need to carryout these tasks. > > Who is assigning you this task? Homework? (Read the Posting Guide.) > > > 1. How to Identify features (names) that have all zeros? > > That's generally pretty simple if "names" refers to columns in a dataframe. > > > > > 2. How to remove features that have all zeros from the dataset? > > But maybe you mean to process by rows? > > > > 3. How to identify features (names) that have outliers such as 99999,-1 > in > > the data frame. > > > > 4. How to remove outliers? > > You could start by defining "outliers" in something other than vague > examples. If this is data from a real-life data gathering effort, then > defining outliers would start with an explanation of the context. > > > > > > > > Many thanks > > Please at least do the following "homework". > > > ______________________________________________ > > R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see > > 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. > > David Winsemius > Alameda, CA, USA > > ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see 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.
