I meant where obama has higher value compared to other candidates. Looking at
the column NY, Obama has the highest. So to state that he wins. Looking for
AR column, Michelle wins. I JUST want to list where obama wins.
Thank you! This seems to work, just do not understand why you used a
threshold?
Thank you! This seems to work, just do not understand why you used a
threshold?
I will study your solution, thanks again!
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The criteria is to list where Obama has a higher number of contributions. The
table shows the number of contribution that each presidential candidate
received in a state of the country.
The table shown is an example, the query should be generic to a database
with hundreds of candidates and dozens
To take this example I reduced the number of records absurdly. In the
original database there are 48 000 candidates and dozens of states. There is
no way to analyze data visually. I would not put 400 mb of tables here. But
based on the example how could list the states where obama received more
con
I believe that previously could not be understood. To facilitate'll give you
an example. Assuming my table is presented below with the amount received
from each candidate for president in a particular country state.
AL AR CA NY
Doug 250 250 250 NA
Jennifer 20 340 300 1
interTable <-data.frame (Tapply ($ contb_receipt_amt date, list ($ cand_nm
date, $ contbr_st date), sum))
I got create a table with the sum total contribution (contb_receipt_amt) of
each presidential candidate (cand_nm) in each state (contbr_st). How could
from interTable create a table of states
I'm studying alone the R language for data preparation. I found a course at
MIT for data preparation that uses python but I'm using R to learning. The
first exercise is the preparation of data from a database that shows the
contributions made to candidates for U.S. president. The database is
descri
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