From aab70cdd8b16edc84a452d4f79671969959d9b2e Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?=E2=80=9CMSS3-ALSULAIMA=E2=80=9D?=
<Mohammed3.Alsulaimani@live.uwe.ac.uk>
Date: Fri, 10 Nov 2023 05:58:45 +0400
Subject: [PATCH] the 75th percentile
---
...ogramming Task 1 Template-checkpoint.ipynb | 455 ++++++++++++++++++
UFCFVQ-15-M Programming Task 1 Template.ipynb | 33 +-
2 files changed, 484 insertions(+), 4 deletions(-)
create mode 100644 .ipynb_checkpoints/UFCFVQ-15-M Programming Task 1 Template-checkpoint.ipynb
diff --git a/.ipynb_checkpoints/UFCFVQ-15-M Programming Task 1 Template-checkpoint.ipynb b/.ipynb_checkpoints/UFCFVQ-15-M Programming Task 1 Template-checkpoint.ipynb
new file mode 100644
index 0000000..9bac290
--- /dev/null
+++ b/.ipynb_checkpoints/UFCFVQ-15-M Programming Task 1 Template-checkpoint.ipynb
@@ -0,0 +1,455 @@
+{
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "# UFCFVQ-15-M Programming for Data Science\n",
+ "# Programming Task 1\n",
+ "\n",
+ "## Student Id: "
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "### Requirement FR1.1 -Find the arithmetic mean using function"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "The mean value is: 14.5\n"
+ ]
+ }
+ ],
+ "source": [
+ "numbers_list = [\n",
+ " 29, 17, 28, 6, 14, 7, 4, 27, 21, 15,\n",
+ " 10, 16, 24, 26, 3, 11, 13, 8, 23, 9,\n",
+ " 0, 22, 12, 2, 18, 19, 5, 1, 20, 25\n",
+ "]\n",
+ "\n",
+ "# Find the average of a given list of numbers\n",
+ "\n",
+ "def arithmetic_mean(numbers):\n",
+ " total_sum = sum(numbers) \n",
+ " mean_value = total_sum / len(numbers) \n",
+ " return mean_value \n",
+ "\n",
+ "# Execute the function and save the resulting value\n",
+ "\n",
+ "mean_value = arithmetic_mean(numbers_list) \n",
+ "\n",
+ "# Display the average value(mean)\n",
+ "\n",
+ "print(f\"The mean value is: {mean_value}\") \n"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "##### MARK: \n",
+ "#### FEEDBACK: \n"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "### Requirement FR1.2 - Find the standard deviation using function"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 2,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "The standard deviation is: 8.65544144839919\n"
+ ]
+ }
+ ],
+ "source": [
+ "def find_std(numbers, mean):\n",
+ "\n",
+ "# Find the variance by averaging the squared differences, from the mean.\n",
+ "# Then take the root to obtain the standard deviation.\n",
+ "\n",
+ " std_value = (sum([(x - mean) ** 2 for x in numbers]) / len(numbers)) ** 0.5\n",
+ " return (std_value)\n",
+ "\n",
+ "# Determine the mean of the numbers_list using the function we defined earlier.\n",
+ "\n",
+ "mean_value = arithmetic_mean(numbers_list)\n",
+ "\n",
+ "# Calculate the deviation using the find_std function and the mean_value.\n",
+ "\n",
+ "std_value = find_std(numbers_list, mean_value)\n",
+ "\n",
+ "# Print the calculated standard deviation\n",
+ "\n",
+ "print(f\"The standard deviation is: {std_value}\")\n"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "##### MARK: \n",
+ "#### FEEDBACK: "
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "### Requirement FR1.3 - Find the min/max values using functions"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 3,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "The minimum value is: 0\n",
+ "The maximum value is: 29\n"
+ ]
+ }
+ ],
+ "source": [
+ "numbers_list = [\n",
+ " 29, 17, 28, 6, 14, 7, 4, 27, 21, 15,\n",
+ " 10, 16, 24, 26, 3, 11, 13, 8, 23, 9,\n",
+ " 0, 22, 12, 2, 18, 19, 5, 1, 20, 25\n",
+ "]\n",
+ "\n",
+ "# Create two functions that will allow you to find the min/max values, in a given list.\n",
+ "\n",
+ "def min_value(numbers):\n",
+ " return min(numbers)\n",
+ "\n",
+ "def max_value(numbers):\n",
+ " return max(numbers)\n",
+ "\n",
+ "# Find the min/max values within the list\n",
+ "\n",
+ "The_min_value = min_value(numbers_list)\n",
+ "The_max_value = max_value(numbers_list)\n",
+ "\n",
+ "# Display the result\n",
+ "\n",
+ "print(f\"The minimum value is: {The_min_value}\")\n",
+ "print(f\"The maximum value is: {The_max_value}\")\n"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "##### MARK: \n",
+ "\n",
+ "#### FEEDBACK: "
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "### Requirement FR1.4 - Find the 25th percentile using functions"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 4,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "The 25th percentile is: 7\n"
+ ]
+ }
+ ],
+ "source": [
+ "numbers_list = [\n",
+ " 29, 17, 28, 6, 14, 7, 4, 27, 21, 15,\n",
+ " 10, 16, 24, 26, 3, 11, 13, 8, 23, 9,\n",
+ " 0, 22, 12, 2, 18, 19, 5, 1, 20, 25\n",
+ "]\n",
+ "\n",
+ "# Function to calculate a percentile within a given list of numbers\n",
+ "\n",
+ "def calculate_percentile(numbers, percentile):\n",
+ " sorted_list = sorted(numbers)\n",
+ " index = int((len(sorted_list) - 1) * (percentile / 100.0))\n",
+ " return sorted_list[index]\n",
+ "\n",
+ "# Calculate the 25th percentile of the list\n",
+ "\n",
+ "percentile_25 = calculate_percentile(numbers_list, 25)\n",
+ "\n",
+ "\n",
+ "# Display the 25th percentile value\n",
+ "\n",
+ "print(f\"The 25th percentile is: {percentile_25}\")\n"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "##### MARK: \n",
+ "#### FEEDBACK: "
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "### Requirement FR1.5 - Find the 50th percentile using functions"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 5,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "The 50th percentile is: 14\n"
+ ]
+ }
+ ],
+ "source": [
+ "\n",
+ "numbers_list = [\n",
+ " 29, 17, 28, 6, 14, 7, 4, 27, 21, 15,\n",
+ " 10, 16, 24, 26, 3, 11, 13, 8, 23, 9,\n",
+ " 0, 22, 12, 2, 18, 19, 5, 1, 20, 25\n",
+ "]\n",
+ "\n",
+ "# Function to calculate a percentile within a given list of numbers\n",
+ "\n",
+ "def calculate_percentile(numbers, percentile):\n",
+ " sorted_list = sorted(numbers)\n",
+ " index = int((len(sorted_list) - 1) * (percentile / 100.0))\n",
+ " return sorted_list[index]\n",
+ "\n",
+ "# Calculate the percentile_50, which is also known as the median using the function we already have.\n",
+ "\n",
+ "percentile_50 = calculate_percentile(numbers_list, 50)\n",
+ "print(f\"The 50th percentile is: {percentile_50}\")\n"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "##### MARK: \n",
+ "#### FEEDBACK: "
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "### Requirement FR1.6 - Find the 75th percentile using functions"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 4,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# add code here"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "##### MARK: \n",
+ "#### FEEDBACK: "
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "### Requirement FR1.7 - Print the set of summary statistics in tabular form"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 5,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# add code here"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "##### MARK: \n",
+ "#### FEEDBACK: "
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "### Requirement FR1.8 - Read data from a file into memory"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 6,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# add code here"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "##### MARK: \n",
+ "#### FEEDBACK: "
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "### Requirement FR1.9 - Design and build a data structure to store CSV data in memory"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 7,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# add code here"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "##### MARK: \n",
+ "#### FEEDBACK: "
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "### Requirement FR1.10 - Create a generic statistical summary function "
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 8,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# add code here"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "##### MARK: \n",
+ "#### FEEDBACK: "
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "### Requirement FR1.11 Adherence to good coding standards"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "##### MARK: \n",
+ "#### FEEDBACK: "
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "### Requirement FR1.12 - Process Development report"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "# write here"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "##### MARK: \n",
+ "#### FEEDBACK: "
+ ]
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "Python 3 (ipykernel)",
+ "language": "python",
+ "name": "python3"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 3
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython3",
+ "version": "3.11.5"
+ },
+ "vscode": {
+ "interpreter": {
+ "hash": "9ef62a9e119055cb3f7e8378d4eaf3b008dbaf8b8298b9c44f87df8240f3e8bc"
+ }
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/UFCFVQ-15-M Programming Task 1 Template.ipynb b/UFCFVQ-15-M Programming Task 1 Template.ipynb
index 1b3d3e4..5dab479 100644
--- a/UFCFVQ-15-M Programming Task 1 Template.ipynb
+++ b/UFCFVQ-15-M Programming Task 1 Template.ipynb
@@ -277,11 +277,36 @@
},
{
"cell_type": "code",
- "execution_count": 4,
+ "execution_count": 6,
"metadata": {},
- "outputs": [],
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "The 75th percentile is: 21\n"
+ ]
+ }
+ ],
"source": [
- "# add code here"
+ "numbers_list = [\n",
+ " 29, 17, 28, 6, 14, 7, 4, 27, 21, 15,\n",
+ " 10, 16, 24, 26, 3, 11, 13, 8, 23, 9,\n",
+ " 0, 22, 12, 2, 18, 19, 5, 1, 20, 25\n",
+ "]\n",
+ "\n",
+ "# Function to calculate a percentile within a given list of numbers\n",
+ "\n",
+ "def calculate_percentile(numbers, percentile):\n",
+ " sorted_list = sorted(numbers)\n",
+ " index = int((len(sorted_list) - 1) * (percentile / 100.0))\n",
+ " return sorted_list[index]\n",
+ "\n",
+ "# Calculate the percentile_75, using the function we already have.\n",
+ "\n",
+ "percentile_75 = calculate_percentile(numbers_list, 75)\n",
+ "\n",
+ "print(f\"The 75th percentile is: {percentile_75}\")\n"
]
},
{
@@ -442,7 +467,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
- "version": "3.9.6"
+ "version": "3.11.5"
},
"vscode": {
"interpreter": {
--
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