I would like to merge 4 CSV files by a common identifier. In this project's .zip attachment you will find 6 files: County [login to view URL], [login to view URL], [login to view URL], [login to view URL], Variable Name [login to view URL], Veterans.csv.
I would like to merge [login to view URL], [login to view URL], [login to view URL], and Veterans.csv. Each table has a column called "FIPS". The tables should merged by that column. In database terms, the FIPS value is the primary key for these 4 tables.
The resulting table should have one FIPS column and then all the aggregate columns from the 4 merged tables. Some tables may not have all of the FIPS values. So in the aggregate table, there will be rows that have empty cells for some of the columns. This is fine.
The resulting large table should be delivered as a .csv.
Thanks for considering this project.
-Sam
Hi there. My name is Daniel and I would be glad to help you out with this project. I can guarantee an excellent job and deliver as soon as possible. I know my bid is overyour budget, but handling large amount of data is sometimes complicated, and requires some measures to avoid messing up the data. Thanks
Hello,
I am an experienced Python developer with expertise in data processing automation. I can complete this project quickly and accurately.
Regards,
Erik
Hi!
I can merge your tables into one clean, correct and free of de-duplicactions CVS file. I have experience processing big sets of data and I pay a lot of attention to my work. I think you would be happy with my results.
Feel free to contact me if you have any questions.
I can do this in about an hour and send it back in CSV format. Also will not have any blank rows where there is no FIPS value. I can send you a clean CSV.
I can provide your need with the day. I presume the finished product is an CSV file with a first column of FIPS and followed by all columns coming from all the four CSV files. I guarantee a prompt delivery for this project.