Access Expert
$30-50 USD
Πληρώθηκε κατά την παράδοση
create a MS access database based on a excel data file. There 187 columns and the ultimate goal is to have thousands of records.
Required Milestones:
1. To develop a proposal for a table structure and approach
2. Build the agreed set-up
3. Upload test data, review and improve where needed.
THIS JOB IS FOR MILESTONE 1 ONLY
Test Data and presentation with sample graphs and sample queries will be provided.
If you decide to apply please provide an example of database structure you have designed and implemented.
You have to understand how to relate data to each-other in a meaning full sense. Understanding basic statistics is needed and lots of values like means and standard deviations need to be calculated.
The data is from a customer service survey. With Free text, scaling (0 to 5) and yes/no answers in.
Ταυτότητα Εργασίας: #4131012
Σχετικά με την εργασία
12 freelancers κάνουν προσφορές κατά μέσο όρο $72 για αυτή τη δουλειά
I have 20+ years of experience programming ms-access, .net & sql server. At your disposal for any doubt or question, Regards Fabio
Hi, I have experience with this project, I happily if work with you in this project. Best Regards
I have over 10 years experience with Access, SQL Server, MySQL and other databases. I can promise a quality, professional service. Please see your PM for more details.
Hi, I M interested in ur project, I have very good Access VBA skills, plz chk the PM for demo. Regards.
Hi, I understand your requirement to analyse the columns and data of your Excel Spreadsheet and normalise this into an entity relationship diagram which can be created in access. Subject to your availability I could p Περισσότερα
Good day! We assure and deliver the excellent work; communicate via pm please & send project files... Thank you
I have more than 13 years of experience in the IT field, specially in Access programming, I've developed many programs for my employers. I assure you that you will find my work accurate and professional.
Requires Normalization of the data in to fact & dimensions. May need some data profiling(cleaning up)
