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  1. Katherine M Linton

    Data Science Certification Training - R Programming|Pratul|Apr 3-May 2

    I am working on Project 2 (Comcast Complaints). I am currently working on the part that asks which state has the highest percentage of unresolved complaints. To find this, I need to divide the number of Open complaints by the Total Number of Complaints per State (*100%). I have a data frame...
  2. Katherine M Linton

    Data Science Certification Training - R Programming|Pratul|Apr 3-May 2

    This is all I got back from Support (see attached). I am still confused. What does "Q3" mean???
  3. Katherine M Linton

    Data Science Certification Training - R Programming|Pratul|Apr 3-May 2

    Just to make sure I'm understanding the instructions...In Project 2, One of the directives says to... "Provide state wise status of complaints in a stacked bar chart. Use the categorized variable from Q3." The term "Q3" is ambiguous to me. Does it mean "Quarter 3," as in the months of the year...
  4. Katherine M Linton

    Data Science Certification Training - R Programming|Pratul|Apr 3-May 2

    Hi! I looked at it, but chose not to do it. It needs a lot of data cleaning and it will take some regression to suggest dresses. It seemed too complicated for me right now. I chose to work on Project 2 (comcast complaints) and am about halfway through it. It is mostly data visualization and...
  5. Katherine M Linton

    Data Science Certification Training - R Programming|Pratul|Apr 3-May 2

    I ran into that problem. The files are *.xlsx, which R doesn't really like. You can open them in excel and export them as *.csv on your machine or use an online converter. Then the read.csv should work well.
  6. Katherine M Linton

    Data Science Certification Training - R Programming|Pratul|Apr 3-May 2

    In regards to the Project, are we expected to clean the data in Excel before loading the data into R Studio OR should we include data cleaning in our code OR it doesn't matter which data-cleaning method we choose?
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