In which repository will it be?
Argentina - BCRA (id 17)
Which are the Entities of the new dataset
Date: in YYYY-MM-DD format
Entity: country
What data should be extracted?
The first 9 datasets are downloaded as follows:
Each sheet of the spreadsheet forms a separate dataset (there are 9 sheets, so there are 9 datasets). The format is the same for everything. Variables should be named as following: "Variables name" + "Category". ATTENTION: Remove (%) in "Variables name". For example: Mas flexibles - Nivel General.
IMPORTANT: Take into consideration all the categories (all te tables) in every sheet.
For the following datasets (10 to 18), should be dowland the following spreadsheet:
Each sheet of the spreadsheet forms a separate dataset (there are 9 sheets, so there are 9 datasets). The format is the same for everything. Variables should be named as following: "Variables name" + "Category". ATTENTION: Remove (%) in "Variables name". For example: Mas flexibles - Creditos Hipotecarios
IMPORTANT
The "Date" column should be in format YYYY-MM-DD. As the information is in quarters, the month should be the first of each quarter. Quarters should be renamed as: I = 01 , II= 04 , III = 07 , IV = 10.
Add a 'country' column (with the corresponding country, in this case Argentina) and set that column as an entity.
What is the estimated difficulty of this data request? Easy
What is the Source / Url of this Data BCRA
What is the format of the data source Excel
What is the name of the new datasets or datasets?
There are 18 datasets:
Monetary - Argentina - BCRA - Credit Conditions Survey (ECC) - Business Loans - Q1
Monetary - Argentina - BCRA - Credit Conditions Survey (ECC) - Business Loans - Q2
Monetary - Argentina - BCRA - Credit Conditions Survey (ECC) - Business Loans - Q3
Monetary - Argentina - BCRA - Credit Conditions Survey (ECC) - Business Loans - Q4
Monetary - Argentina - BCRA - Credit Conditions Survey (ECC) - Business Loans - Q5
Monetary - Argentina - BCRA - Credit Conditions Survey (ECC) - Business Loans - Q6
Monetary - Argentina - BCRA - Credit Conditions Survey (ECC) - Business Loans - Q7
Monetary - Argentina - BCRA - Credit Conditions Survey (ECC) - Business Loans - Q8
Monetary - Argentina - BCRA - Credit Conditions Survey (ECC) - Business Loans - Q9
Monetary - Argentina - BCRA - Credit Conditions Survey (ECC) - Household Loans - Q1
Monetary - Argentina - BCRA - Credit Conditions Survey (ECC) - Household Loans - Q2
Monetary - Argentina - BCRA - Credit Conditions Survey (ECC) - Household Loans - Q3
Monetary - Argentina - BCRA - Credit Conditions Survey (ECC) - Household Loans - Q4
Monetary - Argentina - BCRA - Credit Conditions Survey (ECC) - Household Loans - Q5
Monetary - Argentina - BCRA - Credit Conditions Survey (ECC) - Household Loans - Q6
Monetary - Argentina - BCRA - Credit Conditions Survey (ECC) - Household Loans - Q7
Monetary - Argentina - BCRA - Credit Conditions Survey (ECC) - Household Loans - Q8
Monetary - Argentina - BCRA - Credit Conditions Survey (ECC) - Household Loans - Q9
In which repository will it be? Argentina - BCRA (id 17)
Which are the Entities of the new dataset Date: in YYYY-MM-DD format Entity: country
What data should be extracted?
The first 9 datasets are downloaded as follows:
Each sheet of the spreadsheet forms a separate dataset (there are 9 sheets, so there are 9 datasets). The format is the same for everything. Variables should be named as following: "Variables name" + "Category". ATTENTION: Remove (%) in "Variables name". For example: Mas flexibles - Nivel General. IMPORTANT: Take into consideration all the categories (all te tables) in every sheet.
For the following datasets (10 to 18), should be dowland the following spreadsheet:
Each sheet of the spreadsheet forms a separate dataset (there are 9 sheets, so there are 9 datasets). The format is the same for everything. Variables should be named as following: "Variables name" + "Category". ATTENTION: Remove (%) in "Variables name". For example: Mas flexibles - Creditos Hipotecarios
IMPORTANT