CSV to Multi Line Data Converter

Converting CSV to multi-line data generally means transforming the CSV content into a format where each data element (from the CSV) is placed on a new line. This transformation can vary depending on the desired format, but the key idea is that each row or even each column value is represented as a separate line of data.

Possible Conversion Scenarios:
Each row from CSV on a separate line (row-wise data):
This means you have the same CSV structure, but you want each row to be represented as a new line of text.
Each column value on a separate line (value-wise data):
This means you want each data point from a row or column to be placed on a new line in the output.
Let's break this down with examples.

Scenario 1: Row-wise Multi-line Data (CSV to Each Row on a New Line)
Original CSV (One line per row):

pgsql

Name, Age, City
John, 30, New York
Jane, 25, London
Converted to Multi-line Data (Row-wise):

vbnet

Name: John
Age: 30
City: New York

Name: Jane
Age: 25
City: London
In this case, each row of the CSV file is represented as a separate section with the fields being listed one after another.

Scenario 2: Column-wise Multi-line Data (CSV to Each Value on a New Line)
Original CSV (One line per row):

pgsql

Name, Age, City
John, 30, New York
Jane, 25, London
Converted to Multi-line Data (Value-wise):

vbnet

Name: John
Age: 30
City: New York
Name: Jane
Age: 25
City: London
In this case, each value from every row is listed on a new line in a format where it's paired with its corresponding header.

Converting CSV to Multi-line Data:
If you want to automate the conversion, you could use a simple script (in Python, for example) to convert a CSV file into multi-line data.

Here's an example in Python:

Row-wise Multi-line Data Conversion:
python

import csv

# Open and read the CSV file
with open('data.csv', 'r') as infile:
reader = csv.DictReader(infile) # Read CSV into dictionary form
for row in reader:
for field, value in row.items():
print(f"{field}: {value}")
print() # Print a blank line between rows
This script reads the CSV, then prints each row's values with the corresponding headers, creating a multi-line output with each field-value pair.

Column-wise Multi-line Data Conversion:
python

import csv

# Open and read the CSV file
with open('data.csv', 'r') as infile:
reader = csv.reader(infile)
headers = next(reader) # Get the headers (first row)
for row in reader:
for header, value in zip(headers, row):
print(f"{header}: {value}")
This script also reads the CSV, but it pairs each header with each value from the rows and prints them line-by-line.

Why Convert to Multi-line Data?
Easier reading: Multi-line data can make it more readable, especially when dealing with data that needs to be parsed or viewed as key-value pairs.
Custom Formats: Sometimes, APIs or systems require data in a multi-line format to process it easily.
Data transformation: This format can be useful when you need to process or transform data into a readable format for logs or reports.