Data prep using Rwanda's labour Force Survey for the fourth quarter (Q1) of the year 2022 whose data collection was conducted from 1st to 28th February 2022 in all the districts of Rwanda using Telephone based interviewing mode by the Rwanda National institute of statistics.
# Rwanda-Labour-Force-Survey
Data prep using Rwanda's labour Force Survey for the fourth quarter (Q1) of the year 2022.
## Introduction
We are interested in data for Rwanda on the following variables:
> * Number of employed by region, age (17-35 and 36-64 years), gender, education, and sector,
> * Number of unemployed by region, age (17-35 and 36-64 years), gender, education, and
> * Number of inactive by region, age (17-35 and 36-64 years), gender, education, and reason for inactivity.
Please note that the data is representative on the subnational level!
## Understanding the experimental design
The experimental design for this project is as follows:
> 1. Loading the libraries and dataset
> 2. Data cleaning and preparation
> 3. Excel file generation
## Data Source
This data set presents the results of the labour Force Survey for the fourth quarter (Q1) of the year 2022 whose data collection was conducted from 1st to 28th February 2022 in all the districts of Rwanda using Telephone based interviewing mode by the Rwanda National institute of statistics.
The survey and data can be accessed here:
statistics.gov.rw
## Data relevance
Below is a description of the dataset. The data set is an excel file with multiple sheets containing tables showing various labour indicators.
**LIST OF TABLES**
1. Table B.1: Summary labour force indicators, February-22 (Q1)
2. Table B.2: Population by sex, age group and urban/rural area, February-22 (Q1)
3. Table B.3: Households by household size, sex of head of household and urban/rural area,
February-22 (Q1)
4. Table B.4: Population 16 years old and over by labour force status, sex, age group, and
urban/rural area, February-22 (Q1)
5. Table B.5: Population 16 years old and over by labour force status and level of educational
attainment , February-22 (Q1)
6. Table B.6: Population 16 years old and over by labour force status and marital status, February-
22 (Q1)
7. Table B.7:Employed population by …