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diff --git a/notebooks/raw_data_exploration.ipynb b/notebooks/raw_data_exploration.ipynb new file mode 100644 index 0000000..46c3a43 --- /dev/null +++ b/notebooks/raw_data_exploration.ipynb @@ -0,0 +1,99 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Omaha Incidents" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Prerequisites\n", + "\n", + "You must download the data from the URL below first.\n", + "\n", + "https://police.cityofomaha.org/crime-information/incident-data-download" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Data Exploration\n", + "\n", + "Let's explore the data a little bit to see what kind of analysis and visualizations we want to implement." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "import pandas as pd" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# import data\n", + "df = pd.read_csv(\"../raw_data/Incidents_2015.csv\")\n", + "\n", + "# test to see what the dataframe looks like\n", + "df.head()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# !pip install \"matplotlib\"\n", + "import numpy\n", + "import matplotlib\n", + "%matplotlib inline" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# test plotting by sorting & plotting top 5 crime categories\n", + "s = df.value_counts(subset=[\"Statute/Ordinance Description\"])\n", + "t = s.nlargest(5)\n", + "t.head()\n", + "t.plot(kind=\"bar\", title=\"Top 5 Incident Categories\")" + ] + } + ], + "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": "3.11.7" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} |