Welcome to an exciting journey into the world of data manipulation! If you’ve ever found yourself struggling to merge and manage multiple CSV files, you’re in the right place. Today, we’ll be diving into how to use QueryCSV, a handy command-line application that allows you to load, manipulate, and export CSV files using SQL queries.

Why QueryCSV Was Created

Have you ever faced the daunting task of merging 30 CSV files into a single file and grouping it by day instead of the hour? That’s exactly what inspired the creation of QueryCSV! Instead of wrestling with multiple lines of code, a streamlined command-line interface was developed to simplify the process of manipulating CSV files. Let’s take a closer look at how to get started!

Installation

To install QueryCSV, simply run the following command in your terminal:

bash
go get github.com/m7shapan/querycsv

Alternatively, you can download the binaries from the releases page.

How to Use QueryCSV

Once you have QueryCSV up and running, here’s how to use it to manage your files effectively:

Loading CSV Files

You can load your CSV files with a simple command:

firstgroup = load group_a.csv

After executing this, you’ll see:

+---------+-----+  
|  name   | age |  
+---------+-----+  
| Mohamed | 26  |  
| Asma    | 26  |  
| Ahmed   | 23  |  
+---------+-----+  

Merging Data from Multiple Groups

Next, you can load another file and merge the data:

secondgroup = load group_b.csv
groups = select * from firstgroup
groups += select name, age from secondgroup

This command allows you to select and combine data from both groups:

+---------+-----+  
|  name   | age |  
+---------+-----+  
| Mohamed | 26  |  
| Asma    | 26  |  
| Ahmed   | 23  |  
| mahmoud | 24  |  
| sara    | 22  |  
| khaled  | 23  |  
+---------+-----+  

Aggregating Data

If you want to group the data by age and count occurrences, you can run:

group_by_age = select age, count(*) as count from groups group by age

Although you might initially face an error due to command parameters, ultimately, you should see the counted results:

+-----+-------+  
| age | count |  
+-----+-------+  
| 22  | 1     |  
| 23  | 2     |  
| 24  | 1     |  
| 26  | 2     |  
+-----+-------+  

Exporting Your Data

Finally, you can export your manipulated data to a new CSV file:

export group_by_age final_group.csv

And just like that, your final group data is saved!

Available Commands

QueryCSV comes equipped with a variety of commands for your convenience:

• load [file.csv] – Load one file or all files from a directory (files must share the same CSV structure).
• show [tablename] [limit] – Display table data with an optional row limit.
• export [tablename] [pathtoexportedfile.csv] – Export the specified table data to a CSV file.

Troubleshooting

If you encounter any issues, here are some troubleshooting ideas:

• Ensure that the CSV files you are trying to load are properly formatted and share the same structure.
• Double-check your queries for any syntax errors or misconfigurations.
• If you continue to have problems, feel free to reach out! For more insights, updates, or to collaborate on AI development projects, stay connected with fxis.ai.

At fxis.ai, we believe that such advancements are crucial for the future of AI, as they enable more comprehensive and effective solutions. Our team is continually exploring new methodologies to push the envelope in artificial intelligence, ensuring that our clients benefit from the latest technological innovations.

Happy CSV querying!