From e8af1f904a58280e4169d17941a215e8bd142a33 Mon Sep 17 00:00:00 2001
From: nikitapotnuru <pot.nikita24@gmail.com>
Date: Thu, 9 Oct 2025 11:35:11 +0530
Subject: [PATCH] assingment-1

---
 Nikita_444/ass_one.py | 47 +++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 47 insertions(+)
 create mode 100644 Nikita_444/ass_one.py

diff --git a/Nikita_444/ass_one.py b/Nikita_444/ass_one.py
new file mode 100644
index 0000000..56eda8f
--- /dev/null
+++ b/Nikita_444/ass_one.py
@@ -0,0 +1,47 @@
+
+
+
+
+import pandas as pd
+import statistics as stat
+import numpy as np
+
+dataframe = pd.read_csv("c:/Users/potni/Downloads/iris_dataset.csv")
+
+numeric_df = dataframe.select_dtypes(include=np.number)
+
+mean_val= dataframe.mean(numeric_only=True)
+print("Mean values\n", mean_val)
+
+
+median_val= dataframe.median(numeric_only=True)
+print("\nMedian values\n", median_val)
+
+mode_val= dataframe.mode(numeric_only=True)
+print("\nMode values\n", mode_val)
+
+stand_dev = dataframe.std(numeric_only=True)
+print("\nStandard Deviation\n", stand_dev)
+
+corr_val = dataframe.corr(numeric_only=True)
+print("\nCorrelation\n", corr_val)
+
+cov_val = dataframe.cov(numeric_only=True)
+print("\nCovariance\n", cov_val)
+
+nor_dis = (1/(np.sqrt(2*np.pi)*stand_dev)) * np.exp(-((numeric_df - mean_val)**2)/(2 * stand_dev**2))
+print("\nNormal Distribution PDF values\n", nor_dis.head())
+
+
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