{ "cells": [ { "cell_type": "markdown", "metadata": { "tags": [ "s1", "content", "l1" ] }, "source": [ "# The Data Story..\n", "\n", "## Clean and Messy Data\n", "\n", "Here are a few examples of what kinds of data we encounter:\n", "
\n", "\n", "\n", "\n", "\n", "

\n", "## Exercise:\n", "\n", "What type of variations in the data do you see? What types of datasets do you observe?\n", "\n", "- click on the run button to continue with the workshop.\n" ] }, { "cell_type": "code", "execution_count": 1, "metadata": { "collapsed": true, "tags": [ "s1", "ce", "l1" ] }, "outputs": [], "source": [ "# Clean & The Messy Data.\n", "# This section will contain code examples that you can run to generate results as well as quizzes." ] }, { "cell_type": "markdown", "metadata": { "tags": [ "s1", "l1", "hint" ] }, "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": { "collapsed": true, "tags": [ "s1", "l1", "ans" ] }, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": { "collapsed": true, "tags": [ "s1", "hid", "l1" ] }, "outputs": [], "source": [ "ref_tmp_var = False\n", "\n", "\n", "try:\n", " ref_assert_var = True\n", " \n", " \n", " \n", " \n", "except Exception:\n", " print('Please follow the instructions given and use the same variables provided in the instructions.')\n", "else:\n", " if ref_assert_var:\n", " ref_tmp_var = True\n", " else:\n", " print('Please follow the instructions given and use the same variables provided in the instructions.')\n", "\n", "\n", "assert ref_tmp_var" ] }, { "cell_type": "markdown", "metadata": { "tags": [ "l2", "content", "s2" ] }, "source": [ "\n", "


\n", "## Clustering - The Right Way\n", "\n", "Here is a list of Points of Interest in Venice as seen on a map:\n", "
\n", "\n", "\n", "\n", "\n", "





















\n", "## Exercise:\n", "\n", "- To see the clustering done the right way click on next." ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "collapsed": true, "tags": [ "l2", "ce", "s2" ] }, "outputs": [], "source": [ "from IPython.display import Image\n", "Image(url='https://s3.amazonaws.com/rfjh/media/notebook-images/places.png') " ] }, { "cell_type": "markdown", "metadata": { "tags": [ "l2", "s2", "hint" ] }, "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": { "collapsed": true, "tags": [ "l2", "s2", "ans" ] }, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": { "collapsed": true, "tags": [ "l2", "hid", "s2" ] }, "outputs": [], "source": [ "ref_tmp_var = False\n", "\n", "\n", "try:\n", " ref_assert_var = True\n", " \n", " \n", " \n", " \n", "except Exception:\n", " print('Please follow the instructions given and use the same variables provided in the instructions.')\n", "else:\n", " if ref_assert_var:\n", " ref_tmp_var = True\n", " else:\n", " print('Please follow the instructions given and use the same variables provided in the instructions.')\n", "\n", "\n", "assert ref_tmp_var" ] }, { "cell_type": "markdown", "metadata": { "tags": [ "l3", "s3", "content" ] }, "source": [ "\n", "


\n", "## Clustering - The Wrong Way\n", "\n", "Here is an image of 4 inter-leaved regions that we shall attempt to cluster. \n", "\n", "\n", "## Exercise:\n", "\n", "Here, we have applied a clustering algorithm that doesnt quite work in getting us back the regions. \n", "\n", "- Continue to the next section." ] }, { "cell_type": "code", "execution_count": 1, "metadata": { "collapsed": true, "tags": [ "l3", "s3", "ce" ] }, "outputs": [], "source": [ "from IPython.display import Image\n", "Image(url='https://s3.amazonaws.com/rfjh/media/notebook-images/12-clusters.png') " ] }, { "cell_type": "markdown", "metadata": { "tags": [ "l3", "s3", "hint" ] }, "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": { "collapsed": true, "tags": [ "l3", "s3", "ans" ] }, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": { "collapsed": true, "tags": [ "l3", "s3", "hid" ] }, "outputs": [], "source": [ "ref_tmp_var = False\n", "\n", "\n", "try:\n", " ref_assert_var = True\n", " \n", " \n", " \n", " \n", "except Exception:\n", " print('Please follow the instructions given and use the same variables provided in the instructions.')\n", "else:\n", " if ref_assert_var:\n", " ref_tmp_var = True\n", " else:\n", " print('Please follow the instructions given and use the same variables provided in the instructions.')\n", "\n", "\n", "assert ref_tmp_var" ] } ], "metadata": { "executed_sections": [], "kernelspec": { "display_name": "Python 2", "language": "python", "name": "python2" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.5.2" }, "rf_version": 14 }, "nbformat": 4, "nbformat_minor": 2 }