diff --git a/UFCFVQ-15-M Programming Task 2.ipynb b/UFCFVQ-15-M Programming Task 2.ipynb new file mode 100644 index 0000000000000000000000000000000000000000..f4e96a85eb1666312cf513283654a07477eb78a1 --- /dev/null +++ b/UFCFVQ-15-M Programming Task 2.ipynb @@ -0,0 +1,239 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# UFCFVQ-15-M Programming for Data Science\n", + "# Programming Task 2\n", + "\n", + "## Student Id: " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Requirement FR2.1 - Read CSV data from a file (with a header row) into memory " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# add code here" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Requirement FR2.2 - Read CSV data from a file (without a header row) into memory" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# add code here" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Requirement FR2.3 - Merge the data from two Dataframes" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# add code here" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Requirement FR2.4 - Remove any rows that contain missing values" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# add code here" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Requirement FR2.5 - Filter out unnecessary rows" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# add code here" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Requirement FR2.6 - Rename the score column" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# add code here" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Requirement FR2.7 - Remove unnecessary column(s)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# add code here" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Requirement FR2.8 - Write the DataFrame data to a CSV file" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# add code here" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Requirement FR2.9 - Investigate the effects of age-group on attainment and engagement" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# add code here" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Requirement FR2.10 - Present the results of the age-group investigation using an appropriate visualisation" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# add code here" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Requirement FR2.11 - Investigate the effects of engagement on attainment" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# add code here" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Requirement FR2.12 - Test the hypothesis that there is a significant effect on attainment" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# add code here" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Process Development Report for Task 2\n" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3.9.7 64-bit", + "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": "3.9.7" + }, + "vscode": { + "interpreter": { + "hash": "9ef62a9e119055cb3f7e8378d4eaf3b008dbaf8b8298b9c44f87df8240f3e8bc" + } + } + }, + "nbformat": 4, + "nbformat_minor": 4 +}