🐨 Kuala

Kuala — A simple, Go-powered data analysis library inspired by pandas! Bring the power of data frames to your Go projects with minimal boilerplate.

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📋 Table of Contents

• Features
• Installation
• Usage

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✨ Features

• CSV I/O: Read and manipulate CSV files with ease.
• Data Operations: Perform common analyses:
  • Sum()
  • Std() (Standard Deviation)
  • Col() specific columns
  • Loc() to retrieve specific rows
• Lightweight & Fast: Designed for high performance in Go environments.

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📦 Installation

go get github.com/zyadamr-dev/Kuala

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🚀 Usage

package main

import (
    "fmt"
    "github.com/zyadamr-dev/Kuala"
)

func main() {
    // Load the CSV data
    df, err := io.ReadCSV("data.csv")
    if err != nil {
        panic(err)
    }

    // Sum of the "Age" column
    totalAge := df.Sum("Age")
    fmt.Println("Total Age:", totalAge)

    // Standard deviation of the "Score" column
    scoreStd := df.Std("Score")
    fmt.Println("Score Std Dev:", scoreStd)

    // Select "Name" and "Email" columns
    subset := df.Col("Name", "Email")
    fmt.Println(subset)

    // Retrieve the 5th row (zero-based index)
    row := df.Loc(4)
    fmt.Println("Row 5:", row)
}