Large Dataset CSV
Budget: $250 – $750 AUD
Researching Industry-Specific Data
I am interested in a quote for cost and time to create CSV including First Name, Last Name, Role Title, Location, Company and Linkedin Profile image for large part of the construction industry from publicly available source/s. I can provide a list of 50 global companies that it is to include.
I also need to understand if you can also calculate the years of experience of each individual using publicly availabile work start date?
I estimate the above dataset will be 1 million rows / individuals of information.
The ideal candidate will have experience in handling large datasets in CSV format and is proficient in data cleaning and organization.
Purpose:
- The purpose of this dataset is to conduct research in my industry.
Type of Data:
- I need Major Project Infrastructure data for my research.
Data Cleaning and Organization:
- Please clean and organize the data before delivering it to me.
Skills and Experience:
- Proficiency in handling large datasets in CSV format.
- Experience in data cleaning and organization.
- Knowledge of industry-specific data.
I am interested in a quote for cost and time to create CSV including First Name, Last Name, Role Title, Location, Company and Linkedin Profile image for large part of the construction industry from publicly available source/s. I can provide a list of 50 global companies that it is to include.
I also need to understand if you can also calculate the years of experience of each individual using publicly availabile work start date?
I estimate the above dataset will be 1 million rows / individuals of information.
The ideal candidate will have experience in handling large datasets in CSV format and is proficient in data cleaning and organization.
Purpose:
- The purpose of this dataset is to conduct research in my industry.
Type of Data:
- I need Major Project Infrastructure data for my research.
Data Cleaning and Organization:
- Please clean and organize the data before delivering it to me.
Skills and Experience:
- Proficiency in handling large datasets in CSV format.
- Experience in data cleaning and organization.
- Knowledge of industry-specific data.