atikin-data 0.1.0
Atikin-Data — lightweight smart data toolkit (mini-pandas style utilities for daily use)
License: MIT
Requires Python: >=3.8
Keywords: data, csv, json, excel, lightweight, atikin

# Atikin-Data

**Atikin-Data** is a smart, lightweight, and advanced **daily-use data toolkit** for Python developers.  
It helps you **handle CSV, Excel, JSON files**, summarize, filter, sort, merge, convert, and even visualize datasets effortlessly.

Developed by: **Atikin Verse**

---

## 🚀 Features

### 1. Quick Summary
```python
from atikin_data import quick_summary
summary = quick_summary("data.csv")
print(summary)
````

* Rows, Columns
* Column names & data types
* Mini alternative to Pandas profiling

---

### 2. Quick Preview

```python
from atikin_data import quick_preview
preview = quick_preview("data.csv", n=5)
print(preview)
```

* Preview first `n` rows of your dataset

---

### 3. Missing Report

```python
from atikin_data import missing_report
report = missing_report("data.csv")
print(report)
```

* Count missing values per column

---

### 4. Column Stats

```python
from atikin_data import column_stats
stats = column_stats("data.csv")
print(stats)
```

* Min, Max, Mean for numeric columns

---

### 5. Merge Files

```python
from atikin_data import merge_files
output = merge_files(["file1.csv","file2.csv"], output="merged.csv")
```

* Merge multiple CSV files into one

---

### 6. Auto Convert

```python
from atikin_data import auto_convert
auto_convert("data.csv", "data.xlsx")
```

* Convert CSV ⇄ Excel ⇄ JSON automatically

---

### 7. Filter Rows

```python
from atikin_data import filter_rows
filtered = filter_rows("data.csv", "Age > 25 and City == 'Delhi'")
print(filtered)
```

* Filter rows using **conditions** (Pandas query syntax)

---

### 8. Sort Columns

```python
from atikin_data import sort_columns
sorted_df = sort_columns("data.csv", "Age", ascending=True)
print(sorted_df)
```

* Sort dataset by any column

---

### 9. Visual Summary

```python
from atikin_data import visual_summary
visual_summary("data.csv")
```

* Quick **histogram/plots** for numeric columns
* Requires `matplotlib` (`pip install matplotlib`)

---

## 📦 Installation

```bash
pip install pandas numpy openpyxl matplotlib
pip install -e .
```

---

## 🧪 Testing

```bash
pytest -q
```

* All tests should pass ✅

---

## ⚡ Notes

* `visual_summary` requires `matplotlib`, but rest of the functions work without it.
* Supports CSV, Excel (`.xls`, `.xlsx`), and JSON files.
* Lightweight, fast, and easy-to-use for daily data tasks.

---

## 💡 Example Usage

```python
from atikin_data import quick_summary, filter_rows, merge_files

# Quick summary
summary = quick_summary("data.csv")
print(summary)

# Filter rows
filtered = filter_rows("data.csv", "Age > 30")
print(filtered)

# Merge multiple files
merge_files(["data1.csv","data2.csv"], "merged.csv")
```

---

## 🔗 Author

**Atikin Verse**
For more tools & libraries: [https://atikinverse.com](https://atikinverse.com)

```

---


## 🌐 Follow Us

| Platform  | Username    |
| --------- | ----------- |
| Facebook  | atikinverse |
| Instagram | atikinverse |
| LinkedIn  | atikinverse |
| Twitter/X | atikinverse |
| Threads   | atikinverse |
| Pinterest | atikinverse |
| Quora     | atikinverse |
| Reddit    | atikinverse |
| Tumblr    | atikinverse |
| Snapchat  | atikinverse |
| Skype     | atikinverse |
| GitHub    | atikinverse |

---

<div align="center">  
Made with ❤️ by the **Atikin Data** 🚀  
</div>