From 49eeb843165d3288307d32ed34f0fc0c9235d08a Mon Sep 17 00:00:00 2001
From: Gerardo Marx <gmarx_cc@itmorelia.edu.mx>
Date: Mon, 23 Mar 2026 10:32:21 -0600
Subject: [PATCH] initial commit

---
 Readme.md      |  25 ++++++++
 iris_basic.csv | 151 +++++++++++++++++++++++++++++++++++++++++++++++++
 2 files changed, 176 insertions(+)
 create mode 100644 Readme.md
 create mode 100644 iris_basic.csv

diff --git a/Readme.md b/Readme.md
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+# Iris Dataset CSV Generator
+
+This repository contains a simple Python script to load the Iris dataset, assign basic column names from the beginning, and export the data to a CSV file.
+
+## Objective
+
+The main purpose of this repository is to generate a clean CSV version of the Iris dataset with short and simple column names:
+
+- `sl` : sepal length
+- `sw` : sepal width
+- `pl` : petal length
+- `pw` : petal width
+- `target` : numeric class label
+- `tNames` : class name
+
+## Requirements
+
+This project uses Python and the following libraries:
+
+- `pandas`
+
+You can install them with:
+
+```bash
+pip install pandas 
diff --git a/iris_basic.csv b/iris_basic.csv
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+++ b/iris_basic.csv
@@ -0,0 +1,151 @@
+sl,sw,pl,pw,target,tNames
+5.1,3.5,1.4,0.2,0,setosa
+4.9,3.0,1.4,0.2,0,setosa
+4.7,3.2,1.3,0.2,0,setosa
+4.6,3.1,1.5,0.2,0,setosa
+5.0,3.6,1.4,0.2,0,setosa
+5.4,3.9,1.7,0.4,0,setosa
+4.6,3.4,1.4,0.3,0,setosa
+5.0,3.4,1.5,0.2,0,setosa
+4.4,2.9,1.4,0.2,0,setosa
+4.9,3.1,1.5,0.1,0,setosa
+5.4,3.7,1.5,0.2,0,setosa
+4.8,3.4,1.6,0.2,0,setosa
+4.8,3.0,1.4,0.1,0,setosa
+4.3,3.0,1.1,0.1,0,setosa
+5.8,4.0,1.2,0.2,0,setosa
+5.7,4.4,1.5,0.4,0,setosa
+5.4,3.9,1.3,0.4,0,setosa
+5.1,3.5,1.4,0.3,0,setosa
+5.7,3.8,1.7,0.3,0,setosa
+5.1,3.8,1.5,0.3,0,setosa
+5.4,3.4,1.7,0.2,0,setosa
+5.1,3.7,1.5,0.4,0,setosa
+4.6,3.6,1.0,0.2,0,setosa
+5.1,3.3,1.7,0.5,0,setosa
+4.8,3.4,1.9,0.2,0,setosa
+5.0,3.0,1.6,0.2,0,setosa
+5.0,3.4,1.6,0.4,0,setosa
+5.2,3.5,1.5,0.2,0,setosa
+5.2,3.4,1.4,0.2,0,setosa
+4.7,3.2,1.6,0.2,0,setosa
+4.8,3.1,1.6,0.2,0,setosa
+5.4,3.4,1.5,0.4,0,setosa
+5.2,4.1,1.5,0.1,0,setosa
+5.5,4.2,1.4,0.2,0,setosa
+4.9,3.1,1.5,0.2,0,setosa
+5.0,3.2,1.2,0.2,0,setosa
+5.5,3.5,1.3,0.2,0,setosa
+4.9,3.6,1.4,0.1,0,setosa
+4.4,3.0,1.3,0.2,0,setosa
+5.1,3.4,1.5,0.2,0,setosa
+5.0,3.5,1.3,0.3,0,setosa
+4.5,2.3,1.3,0.3,0,setosa
+4.4,3.2,1.3,0.2,0,setosa
+5.0,3.5,1.6,0.6,0,setosa
+5.1,3.8,1.9,0.4,0,setosa
+4.8,3.0,1.4,0.3,0,setosa
+5.1,3.8,1.6,0.2,0,setosa
+4.6,3.2,1.4,0.2,0,setosa
+5.3,3.7,1.5,0.2,0,setosa
+5.0,3.3,1.4,0.2,0,setosa
+7.0,3.2,4.7,1.4,1,versicolor
+6.4,3.2,4.5,1.5,1,versicolor
+6.9,3.1,4.9,1.5,1,versicolor
+5.5,2.3,4.0,1.3,1,versicolor
+6.5,2.8,4.6,1.5,1,versicolor
+5.7,2.8,4.5,1.3,1,versicolor
+6.3,3.3,4.7,1.6,1,versicolor
+4.9,2.4,3.3,1.0,1,versicolor
+6.6,2.9,4.6,1.3,1,versicolor
+5.2,2.7,3.9,1.4,1,versicolor
+5.0,2.0,3.5,1.0,1,versicolor
+5.9,3.0,4.2,1.5,1,versicolor
+6.0,2.2,4.0,1.0,1,versicolor
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+5.6,2.9,3.6,1.3,1,versicolor
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+6.2,2.2,4.5,1.5,1,versicolor
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+6.1,2.8,4.0,1.3,1,versicolor
+6.3,2.5,4.9,1.5,1,versicolor
+6.1,2.8,4.7,1.2,1,versicolor
+6.4,2.9,4.3,1.3,1,versicolor
+6.6,3.0,4.4,1.4,1,versicolor
+6.8,2.8,4.8,1.4,1,versicolor
+6.7,3.0,5.0,1.7,1,versicolor
+6.0,2.9,4.5,1.5,1,versicolor
+5.7,2.6,3.5,1.0,1,versicolor
+5.5,2.4,3.8,1.1,1,versicolor
+5.5,2.4,3.7,1.0,1,versicolor
+5.8,2.7,3.9,1.2,1,versicolor
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+6.0,3.4,4.5,1.6,1,versicolor
+6.7,3.1,4.7,1.5,1,versicolor
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+5.6,3.0,4.1,1.3,1,versicolor
+5.5,2.5,4.0,1.3,1,versicolor
+5.5,2.6,4.4,1.2,1,versicolor
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+5.8,2.6,4.0,1.2,1,versicolor
+5.0,2.3,3.3,1.0,1,versicolor
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+5.7,3.0,4.2,1.2,1,versicolor
+5.7,2.9,4.2,1.3,1,versicolor
+6.2,2.9,4.3,1.3,1,versicolor
+5.1,2.5,3.0,1.1,1,versicolor
+5.7,2.8,4.1,1.3,1,versicolor
+6.3,3.3,6.0,2.5,2,virginica
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