I would like to merge 4 CSV files by a common identifier. In this project's .zip attachment you will find 6 files: County [url removed, login to view], [url removed, login to view], [url removed, login to view], [url removed, login to view], Variable Name [url removed, login to view], Veterans.csv.
I would like to merge [url removed, login to view], [url removed, login to view], [url removed, login to view], 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.
19 freelancer đang chào giá trung bình $49 cho công việc này
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 will work as per your project description. I will start working right now. I want to show you sample. I am waiting for your response to show you sample and to discuss more about the project. Thanks
Hola entiendo el requerimiento de su oferta, si le interesa me gustaría estar en contacto para realizar el proyecto. Un saludo, espero sus noticias.
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.