Medical Insurance has become a part of the common man's life given the time of pandemic we are living in. The data that we have helps analysts allocate suitable policy to a valued customer. Data cleaning is a major part before any analysis can be performed..
In this challenge, you need to read the data from a CSV(Comma Separated Value) file that is insurance.csv file filter the required data to write it another file..
The dataset.
- age: age of primary beneficiary
- sex: insurance contractor gender, female, male
- bmi: Body mass index, providing an understanding of body, weights that are relatively high or low relative to height, objective index of body weight (kg / m ^ 2) using the ratio of height to weight, ideally 18.5 to 24.9
- children: Number of children covered by health insurance / Number of dependents
- smoker: Smoking
- region: the beneficiary's residential area in the US, northeast, southeast, southwest, northwest
- charges: Individual medical costs billed by health insurance
- Read the CSV file line by line that contains data of the insurance record.
- Filter all the records for female candidates given region as southwest.
- Write all the filtered data in file 'femaleRegion.txt'.
- Read the same csv file using Streams.
- Filter all the records for male or female with no children.
- Write all the filtered data in 'noChildren.txt'.
- Download and unzip the boilerplate code.
- Run the command npm install to install the dependencies.
- Open the boilerplate code in VSCode to develop the assignment solution.
- Write the logic in .js file present in src folder
- Read the .csv file given in resources folder
- Run the test scripts available under src/test by giving the npm run test command in the terminal to test locally.
- Refactor the solution to ensure all test cases are passing.
- Zip the solution code with the name same as the assignment name.
- Upload the zipped solution for submission.