osiris.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# Teaching Data Science\n",
    "\n",
    "Miles Berry\n",
    "\n",
    "University of Roehampton\n",
    "\n",
    "24 March 2021\n",
    "\n",
    "Osiris World Education Summit\n",
    "\n",
    "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](http://bit.ly/osirisds)\n",
    "\n",
    "This notebook: http://bit.ly/osirisds\n",
    "\n",
    "Click in a box to edit, shift-enter to run."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# Find motivating contexts for teaching computer science"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "source": [
    "* Animation\n",
    "* Games\n",
    "* Robotics\n",
    "* Art\n",
    "* Music"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "source": [
    "* Statistics"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# Emphasise the relevance of statistics\n",
    "\n",
    "* Work with big(ish) data\n",
    "* Explore real world problems\n",
    "* Use their coding skills"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## Curriculum design - computing\n",
    "\n",
    "* Foundations - computer science\n",
    "* Applications - information technology\n",
    "* Implications - digital literacy"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "## Curriculum design - data science\n",
    "\n",
    "* Foundations - probability and statistics\n",
    "* Applications - using software and writing code\n",
    "* Implications - question everything; trust no one"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## Data science curricula\n",
    "\n",
    "* England's [computing](https://www.gov.uk/government/publications/national-curriculum-in-england-computing-programmes-of-study) and [mathematics](https://www.gov.uk/government/publications/national-curriculum-in-england-mathematics-programmes-of-study) curricula\n",
    "* The [large dataset question](https://mei.org.uk/large-data-sets) in A Level maths\n",
    "* MEI's [data science unit](https://mei.org.uk/data-science) for A Level maths\n",
    "* SQA [National Progression Award in Data Science](https://www.sqa.org.uk/sqa/91458.html)\n",
    "* Data science in [CSTA's Standards](https://drive.google.com/open?id=1-dPTAI1yk2HYPKUWZ6DqaM6aVUDa9iby)\n",
    "* Bootstrap World [Data Science](https://www.bootstrapworld.org/blog/curriculum/Data-Science-Is-Coming.shtml)\n",
    "* IDSSP's [Curriculum frameworks for introductory data science](http://www.idssp.org/files/IDSSP_Frameworks_1.0.pdf) \n",
    "* Grillenberger and Romeike's (2018) [Data literacy competency model](https://computingeducation.de/pub/2018_Grillenberger-Romeike_WiPSCE2018.pdf). "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# Which tools?\n",
    "\n",
    "* Excel or Google Sheets, Tableau, Orange, **Python** (with [Pandas](https://pandas.pydata.org/) and [Seaborn](https://seaborn.pydata.org/)), R, Julia\n",
    "* IDLE, Visual Studio Code, **[Jupyter](https://jupyter.org/)**\n",
    "* **[Google Colab](https://colab.research.google.com/)**, [Kaggle](https://www.kaggle.com/kernels), [Binder](https://mybinder.readthedocs.io/en/latest/introduction.html) with [Rise](https://rise.readthedocs.io/en/stable/)\n",
    "\n",
    "*Other tools are available!*"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# Foundations\n",
    "\n",
    "## Introducing probability and statistics: \n",
    "## dice rolling"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "We'll start by loading a few standard libraries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "execution": {
     "iopub.execute_input": "2021-03-16T12:26:48.425Z",
     "iopub.status.busy": "2021-03-16T12:26:48.408Z",
     "iopub.status.idle": "2021-03-16T12:26:48.454Z",
     "shell.execute_reply": "2021-03-16T12:26:48.470Z"
    },
    "id": "ihIWciEmFL1G",
    "rise": {
     "theme": "sky"
    },
    "slideshow": {
     "slide_type": "-"
    }
   },
   "outputs": [],
   "source": [
    "from random import randint # pseudorandom whole numbers\n",
    "from math import sqrt      # squareroots\n",
    "\n",
    "import matplotlib.pyplot as plt # basic graphics library\n",
    "%matplotlib inline         \n",
    "                           # have Jupyter display static graphics inline\n",
    "plt.style.use('ggplot')    # ggplot style graphics\n",
    "plt.rcParams['figure.figsize'] = [10, 6] # make the graphs a bit bigger\n",
    "\n",
    "import warnings            # how should we deal with Python warnings?\n",
    "warnings.filterwarnings('ignore') # just ignore them. This is a good rule for life. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "Let's start by creating a function to roll a dice, and then rolling lots of dice lots of times."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "execution": {
     "iopub.execute_input": "2020-07-08T10:20:39.547Z",
     "iopub.status.busy": "2020-07-08T10:20:39.510Z",
     "iopub.status.idle": "2020-07-08T10:20:39.610Z",
     "shell.execute_reply": "2020-07-08T10:20:39.635Z"
    },
    "id": "7ozChYSyBLap",
    "slideshow": {
     "slide_type": "-"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[5, 5, 7, 6, 10, 4, 4, 2, 6, 11, 7, 5, 6, 8, 8, 8, 5, 8, 6, 8]"
      ]
     },
     "execution_count": 95,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def roll(dice=1,sides=6):\n",
    "  score = 0\n",
    "  for i in range(dice):\n",
    "    score += randint(1,sides)\n",
    "  return score\n",
    "\n",
    "def rolls(dice=1,sides=6,times=1):\n",
    "  scores = []\n",
    "  for i in range(times):\n",
    "    scores.append(roll(dice,sides))\n",
    "  return scores\n",
    "\n",
    "example = rolls(2,6,10000) # roll two, 6-sided dice, 100 times.\n",
    "\n",
    "example[:20]\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "Can we work out the relative frequency (observed probability) of particular scores? "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "metadata": {
    "slideshow": {
     "slide_type": "-"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.1671"
      ]
     },
     "execution_count": 96,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def relativeFrequency(x, data):\n",
    "    count = 0\n",
    "    total = 0\n",
    "    for i in data:\n",
    "        if i == x:\n",
    "            count += 1\n",
    "        total += 1\n",
    "    return(count/total)\n",
    "\n",
    "relativeFrequency(7, example)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "Can we get the relative frequencies for all the possible scores?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 114,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[0.0257,\n",
       " 0.0563,\n",
       " 0.0834,\n",
       " 0.1137,\n",
       " 0.1418,\n",
       " 0.1671,\n",
       " 0.1387,\n",
       " 0.1069,\n",
       " 0.085,\n",
       " 0.0566,\n",
       " 0.0248]"
      ]
     },
     "execution_count": 114,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "relativeFrequencies = []\n",
    "for i in range(2, 13):\n",
    "    relativeFrequencies.append(relativeFrequency(i, example))\n",
    "\n",
    "relativeFrequencies"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## Computing statistics\n",
    "\n",
    "* Mean\n",
    "* Mode\n",
    "* Median\n",
    "* Range\n",
    "* Standard deviation"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "Finding the mean"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2020-07-08T10:16:56.824Z",
     "iopub.status.busy": "2020-07-08T10:16:56.797Z",
     "iopub.status.idle": "2020-07-08T10:16:56.887Z",
     "shell.execute_reply": "2020-07-08T10:16:56.922Z"
    },
    "slideshow": {
     "slide_type": "-"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "6.9848"
      ]
     },
     "execution_count": 98,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def mymean(data):\n",
    "    total = 0\n",
    "    count = 0\n",
    "    for i in data:\n",
    "        total += i\n",
    "        count += 1\n",
    "    return total/count\n",
    "\n",
    "mymean(example)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "Other approaches to calculating the mean:\n",
    "\n",
    "Using sum:\n",
    "```python\n",
    "def mymean(data):\n",
    "    return sum(data)/len(data)\n",
    "```\n",
    "Using higher order functions:\n",
    "```python\n",
    "from functools import reduce\n",
    "\n",
    "def mymean(data):\n",
    "    return((reduce(lambda total, item: total + item, data, 0)) / \n",
    "           (reduce(lambda count, item: count + 1, data, 0)))\n",
    "\n",
    "```\n",
    "Using the mean function!\n",
    "```python\n",
    "from statistics import mean\n",
    "```\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "To work out the mode of our data, we need to know which item came up with the greatest frequency, so we may as well work out a frequency table..."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2020-07-08T10:20:49.100Z",
     "iopub.status.busy": "2020-07-08T10:20:49.072Z",
     "iopub.status.idle": "2020-07-08T10:20:49.157Z",
     "shell.execute_reply": "2020-07-08T10:20:49.181Z"
    },
    "slideshow": {
     "slide_type": "-"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[(2, 257),\n",
       " (3, 563),\n",
       " (4, 834),\n",
       " (5, 1137),\n",
       " (6, 1418),\n",
       " (7, 1671),\n",
       " (8, 1387),\n",
       " (9, 1069),\n",
       " (10, 850),\n",
       " (11, 566),\n",
       " (12, 248)]"
      ]
     },
     "execution_count": 99,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def freqtable(data):\n",
    "    freqtable = {}\n",
    "    for i in data:\n",
    "        if i in freqtable.keys():\n",
    "            freqtable[i] += 1\n",
    "        else:\n",
    "            freqtable[i] = 1\n",
    "    return(freqtable)\n",
    "\n",
    "freqtable(example)\n",
    "\n",
    "sorted(freqtable(example).items()) "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "If we've got a frequency table, we may as well plot a bar chart..."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2020-07-08T10:20:52.731Z",
     "iopub.status.busy": "2020-07-08T10:20:52.692Z",
     "iopub.status.idle": "2020-07-08T10:20:53.063Z",
     "shell.execute_reply": "2020-07-08T10:20:53.130Z"
    },
    "slideshow": {
     "slide_type": "-"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<BarContainer object of 11 artists>"
      ]
     },
     "execution_count": 100,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.bar(freqtable(example).keys(),freqtable(example).values())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2020-07-08T10:20:56.999Z",
     "iopub.status.busy": "2020-07-08T10:20:56.970Z",
     "iopub.status.idle": "2020-07-08T10:20:57.060Z",
     "shell.execute_reply": "2020-07-08T10:20:57.085Z"
    },
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "7"
      ]
     },
     "execution_count": 101,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def mymode(data):\n",
    "    mode = 0\n",
    "    max = 0\n",
    "    freqs = freqtable(data)\n",
    "    for i in freqs.keys():\n",
    "        if freqs[i]>max:\n",
    "            max=freqs[i]\n",
    "            mode = i\n",
    "    return mode\n",
    "\n",
    "mymode(example)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "Finding the median"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "7.0"
      ]
     },
     "execution_count": 102,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def quicksort(data):\n",
    "    if len(data)==0:\n",
    "        return data\n",
    "    else:\n",
    "        lower = [x for x in data[1:] if x < data[0]]\n",
    "        upper = [x for x in data[1:] if x >= data[0]]\n",
    "        return quicksort(lower) + [data[0]] + quicksort(upper)\n",
    "\n",
    "def mymedian(data):\n",
    "    l = len(data)\n",
    "    sortedData = quicksort(data)\n",
    "    if l % 2 == 0:\n",
    "        return (sortedData[l // 2] + sortedData[(l+1)// 2])/2\n",
    "    else:\n",
    "        return qsortedData[(l+1)//2]\n",
    "    \n",
    "mymedian(example)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "notes"
    }
   },
   "source": [
    "Is it *absolutely* necessary to sort the data to find the median? The above algorithm is O(n log n). I can think of an O(n + k log k) algorithm, where k is the number of distinct values..."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "Finding the range"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "metadata": {
    "slideshow": {
     "slide_type": "-"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "10"
      ]
     },
     "execution_count": 103,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def myrange(data):\n",
    "    minimum = float('inf')\n",
    "    maximum = float('-inf')\n",
    "    for i in data:\n",
    "        if i < minimum:\n",
    "            minimum = i\n",
    "        if i > maximum:\n",
    "            maximum = i\n",
    "    return (maximum - minimum)\n",
    "\n",
    "\n",
    "myrange(example)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "Finding the standard deviation. Which algorthm do you like best?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2020-07-08T10:21:02.654Z",
     "iopub.status.busy": "2020-07-08T10:21:02.626Z",
     "iopub.status.idle": "2020-07-08T10:21:02.705Z",
     "shell.execute_reply": "2020-07-08T10:21:02.728Z"
    },
    "slideshow": {
     "slide_type": "-"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "method 1 2.397325376330877\n",
      "method 2 2.39732537633088\n"
     ]
    }
   ],
   "source": [
    "def mysd1(data):\n",
    "    '''sqrt of mean squared deviations'''\n",
    "    m = mymean(data)\n",
    "    squaredDeviations = map(lambda x: (x-m)**2, data)\n",
    "    return sqrt(mymean(squaredDeviations))\n",
    "\n",
    "def mysd2(data):\n",
    "    '''sqrt of (mean of squares - square of means)'''\n",
    "    return sqrt((mymean(map(lambda x: x**2, data)) - mymean(data)**2))\n",
    "\n",
    "print('method 1',mysd1(example))\n",
    "print('method 2',mysd2(example))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# Applications\n",
    "\n",
    "## Data analysis in Python: \n",
    "## Working with historical weather data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "<img src=\"./tree.jpg\">\n",
    "\n",
    "Temperatures in Godalming, 2020"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "![New Zealand Census Bureau](https://i0.wp.com/new.censusatschool.org.nz/wp-content/uploads/2012/11/data-detective.png?resize=800%2C600&ssl=1)\n",
    "\n",
    "[New Zealand Census at School](https://new.censusatschool.org.nz/)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## Start with interesting questions\n",
    "\n",
    "* Is winter wetter than summer?\n",
    "* Is spring hotter than autumn?\n",
    "* Has the climate changed?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "For this, we'll import some of Python's libraries rather than creating all this ourselves!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "execution": {
     "iopub.execute_input": "2021-03-16T12:22:12.963Z",
     "iopub.status.busy": "2021-03-16T12:22:12.939Z",
     "iopub.status.idle": "2021-03-16T12:22:35.981Z",
     "shell.execute_reply": "2021-03-16T12:22:36.003Z"
    },
    "id": "cOOYUkFgB6Hp",
    "slideshow": {
     "slide_type": "-"
    }
   },
   "outputs": [],
   "source": [
    "import pandas as pd # data handling toolbox\n",
    "import requests     # tool to download data off the web\n",
    "import datetime     # dates and times are horrible. This makes things a little easier.\n",
    "import seaborn as sns # nice graphics toolbox, built on, and transforming matplotlib\n",
    "sns.set()           # ggplot style graphs\n",
    "import scipy.stats  # statistical testing\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "We'll also download the historical (month by month) weather data for the Heathrow weather station from the [UK Met Office](https://www.metoffice.gov.uk/research/climate/maps-and-data/historic-station-data) website. \n",
    "\n",
    "If you're going to try this in school, use something more local?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 106,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-03-16T12:22:42.200Z",
     "iopub.status.busy": "2021-03-16T12:22:42.181Z",
     "iopub.status.idle": "2021-03-16T12:22:42.309Z",
     "shell.execute_reply": "2021-03-16T12:22:42.345Z"
    },
    "jupyter": {
     "outputs_hidden": false,
     "source_hidden": false
    },
    "nteract": {
     "transient": {
      "deleting": false
     }
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "46364"
      ]
     },
     "execution_count": 106,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "url = 'https://www.metoffice.gov.uk/pub/data/weather/uk/climate/stationdata/heathrowdata.txt'\n",
    "raw = requests.get(url, allow_redirects=True)\n",
    "open('data.txt','wb').write(raw.content) "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "What follows is unpleasant.\n",
    "\n",
    "Transforming the data into a usable format is non-trivial, requires attention to detail and is specific to the particular use case.\n",
    "\n",
    "In general, do this for pupils, or have them do this in Excel where they can see what they're doing."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-03-16T12:22:47.417Z",
     "iopub.status.busy": "2021-03-16T12:22:47.401Z",
     "iopub.status.idle": "2021-03-16T12:22:47.455Z",
     "shell.execute_reply": "2021-03-16T12:22:47.469Z"
    },
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>yyyy</th>\n",
       "      <th>mm</th>\n",
       "      <th>tmin</th>\n",
       "      <th>tmax</th>\n",
       "      <th>temp</th>\n",
       "      <th>af</th>\n",
       "      <th>rain</th>\n",
       "      <th>sun</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>2020-12</td>\n",
       "      <td>2020</td>\n",
       "      <td>12</td>\n",
       "      <td>3.5</td>\n",
       "      <td>8.5</td>\n",
       "      <td>6.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>72.4</td>\n",
       "      <td>36.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2021-01</td>\n",
       "      <td>2021</td>\n",
       "      <td>1</td>\n",
       "      <td>1.3</td>\n",
       "      <td>7.0</td>\n",
       "      <td>4.2</td>\n",
       "      <td>12.0</td>\n",
       "      <td>91.6</td>\n",
       "      <td>29.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2021-02</td>\n",
       "      <td>2021</td>\n",
       "      <td>2</td>\n",
       "      <td>3.1</td>\n",
       "      <td>9.1</td>\n",
       "      <td>6.1</td>\n",
       "      <td>7.0</td>\n",
       "      <td>32.4</td>\n",
       "      <td>57.9</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         yyyy  mm  tmin  tmax  temp    af  rain   sun\n",
       "date                                                 \n",
       "2020-12  2020  12   3.5   8.5   6.0   7.0  72.4  36.5\n",
       "2021-01  2021   1   1.3   7.0   4.2  12.0  91.6  29.4\n",
       "2021-02  2021   2   3.1   9.1   6.1   7.0  32.4  57.9"
      ]
     },
     "execution_count": 73,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataset = pd.read_csv(\"data.txt\", skiprows=[0,1,2,3,4,5],\n",
    "                      names=['yyyy', 'mm', 'tmax', 'tmin', 'af', 'rain', 'sun', 'notes'],\n",
    "                      delim_whitespace=True, warn_bad_lines=True, error_bad_lines=False, na_values='---')\n",
    "dataset['sun'] = dataset['sun'].str.replace(r'#', '')\n",
    "dataset = dataset.drop([0])\n",
    "dataset['date'] = dataset.apply(lambda x: datetime.date(int(x['yyyy']), int(x['mm']), 1), axis=1)\n",
    "dataset.index = dataset['date']\n",
    "dataset.index = pd.to_datetime(dataset.index)\n",
    "dataset.index = dataset.index.to_period('M')\n",
    "dataset = dataset.drop(['date'], axis=1)\n",
    "dataset = dataset.drop(['notes'], axis=1)\n",
    "dataset['mm'] = dataset['mm'].astype('int')\n",
    "dataset['tmax'] = dataset['tmax'].astype('float')\n",
    "dataset['tmin'] = dataset['tmin'].astype('float')\n",
    "dataset['temp'] = (dataset['tmax']+dataset['tmin'])/2\n",
    "dataset['af'] = dataset['af'].astype('float', errors='ignore')\n",
    "dataset['rain'] = dataset['rain'].astype('float')\n",
    "dataset['sun'] = dataset['sun'].astype('float', errors='ignore')\n",
    "dataset = dataset[['yyyy','mm','tmin','tmax','temp','af','rain','sun']]\n",
    "dataset[-3:].round(1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "Adding columns to identify seasons and decades"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-03-16T12:25:41.666Z",
     "iopub.status.busy": "2021-03-16T12:25:41.654Z",
     "iopub.status.idle": "2021-03-16T12:25:41.699Z",
     "shell.execute_reply": "2021-03-16T12:25:41.711Z"
    },
    "jupyter": {
     "outputs_hidden": false,
     "source_hidden": false
    },
    "nteract": {
     "transient": {
      "deleting": false
     }
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>yyyy</th>\n",
       "      <th>mm</th>\n",
       "      <th>tmin</th>\n",
       "      <th>tmax</th>\n",
       "      <th>temp</th>\n",
       "      <th>af</th>\n",
       "      <th>rain</th>\n",
       "      <th>sun</th>\n",
       "      <th>season</th>\n",
       "      <th>decade</th>\n",
       "      <th>temps</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>2020-10</td>\n",
       "      <td>2020</td>\n",
       "      <td>10</td>\n",
       "      <td>8.8</td>\n",
       "      <td>15.0</td>\n",
       "      <td>11.90</td>\n",
       "      <td>0.0</td>\n",
       "      <td>142.2</td>\n",
       "      <td>51.6</td>\n",
       "      <td>autumn</td>\n",
       "      <td>2020s</td>\n",
       "      <td>12.369167</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2020-11</td>\n",
       "      <td>2020</td>\n",
       "      <td>11</td>\n",
       "      <td>6.2</td>\n",
       "      <td>12.7</td>\n",
       "      <td>9.45</td>\n",
       "      <td>2.0</td>\n",
       "      <td>50.2</td>\n",
       "      <td>44.6</td>\n",
       "      <td>autumn</td>\n",
       "      <td>2020s</td>\n",
       "      <td>12.348333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2020-12</td>\n",
       "      <td>2020</td>\n",
       "      <td>12</td>\n",
       "      <td>3.5</td>\n",
       "      <td>8.5</td>\n",
       "      <td>6.00</td>\n",
       "      <td>7.0</td>\n",
       "      <td>72.4</td>\n",
       "      <td>36.5</td>\n",
       "      <td>winter</td>\n",
       "      <td>2020s</td>\n",
       "      <td>12.260000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2021-01</td>\n",
       "      <td>2021</td>\n",
       "      <td>1</td>\n",
       "      <td>1.3</td>\n",
       "      <td>7.0</td>\n",
       "      <td>4.15</td>\n",
       "      <td>12.0</td>\n",
       "      <td>91.6</td>\n",
       "      <td>29.4</td>\n",
       "      <td>winter</td>\n",
       "      <td>2020s</td>\n",
       "      <td>12.225000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2021-02</td>\n",
       "      <td>2021</td>\n",
       "      <td>2</td>\n",
       "      <td>3.1</td>\n",
       "      <td>9.1</td>\n",
       "      <td>6.10</td>\n",
       "      <td>7.0</td>\n",
       "      <td>32.4</td>\n",
       "      <td>57.9</td>\n",
       "      <td>winter</td>\n",
       "      <td>2020s</td>\n",
       "      <td>12.224167</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         yyyy  mm  tmin  tmax   temp    af   rain   sun  season decade  \\\n",
       "date                                                                     \n",
       "2020-10  2020  10   8.8  15.0  11.90   0.0  142.2  51.6  autumn  2020s   \n",
       "2020-11  2020  11   6.2  12.7   9.45   2.0   50.2  44.6  autumn  2020s   \n",
       "2020-12  2020  12   3.5   8.5   6.00   7.0   72.4  36.5  winter  2020s   \n",
       "2021-01  2021   1   1.3   7.0   4.15  12.0   91.6  29.4  winter  2020s   \n",
       "2021-02  2021   2   3.1   9.1   6.10   7.0   32.4  57.9  winter  2020s   \n",
       "\n",
       "             temps  \n",
       "date                \n",
       "2020-10  12.369167  \n",
       "2020-11  12.348333  \n",
       "2020-12  12.260000  \n",
       "2021-01  12.225000  \n",
       "2021-02  12.224167  "
      ]
     },
     "execution_count": 107,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "seasons = {12:'winter',1:'winter',2:'winter',\n",
    "           3:'spring',4:'spring',5:'spring',\n",
    "           6:'summer',7:'summer',8:'summer',\n",
    "           9:'autumn',10:'autumn',11:'autumn'}\n",
    "\n",
    "dataset['season'] = ((dataset.index.month).map(seasons))\n",
    "dataset['decade'] = ((dataset.index.year).map(lambda y : str(y//10)+'0s'))\n",
    "\n",
    "dataset[-5:]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "So what have we got here?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 108,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-03-16T12:23:18.469Z",
     "iopub.status.busy": "2021-03-16T12:23:18.450Z",
     "iopub.status.idle": "2021-03-16T12:23:18.504Z",
     "shell.execute_reply": "2021-03-16T12:23:18.518Z"
    },
    "slideshow": {
     "slide_type": "-"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>mm</th>\n",
       "      <th>tmin</th>\n",
       "      <th>tmax</th>\n",
       "      <th>temp</th>\n",
       "      <th>af</th>\n",
       "      <th>rain</th>\n",
       "      <th>sun</th>\n",
       "      <th>temps</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>count</td>\n",
       "      <td>878.0</td>\n",
       "      <td>878.0</td>\n",
       "      <td>878.0</td>\n",
       "      <td>878.0</td>\n",
       "      <td>866.0</td>\n",
       "      <td>878.0</td>\n",
       "      <td>770.0</td>\n",
       "      <td>819.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>mean</td>\n",
       "      <td>6.5</td>\n",
       "      <td>7.1</td>\n",
       "      <td>14.9</td>\n",
       "      <td>11.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>50.6</td>\n",
       "      <td>129.1</td>\n",
       "      <td>11.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>std</td>\n",
       "      <td>3.5</td>\n",
       "      <td>4.5</td>\n",
       "      <td>5.8</td>\n",
       "      <td>5.1</td>\n",
       "      <td>4.7</td>\n",
       "      <td>29.8</td>\n",
       "      <td>65.1</td>\n",
       "      <td>0.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>min</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-4.6</td>\n",
       "      <td>0.8</td>\n",
       "      <td>-1.9</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.3</td>\n",
       "      <td>18.5</td>\n",
       "      <td>9.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>25%</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.3</td>\n",
       "      <td>9.8</td>\n",
       "      <td>6.6</td>\n",
       "      <td>0.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>68.3</td>\n",
       "      <td>10.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>50%</td>\n",
       "      <td>6.0</td>\n",
       "      <td>6.6</td>\n",
       "      <td>14.7</td>\n",
       "      <td>10.7</td>\n",
       "      <td>0.0</td>\n",
       "      <td>46.8</td>\n",
       "      <td>125.8</td>\n",
       "      <td>10.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>75%</td>\n",
       "      <td>9.0</td>\n",
       "      <td>11.2</td>\n",
       "      <td>20.1</td>\n",
       "      <td>15.6</td>\n",
       "      <td>5.0</td>\n",
       "      <td>68.8</td>\n",
       "      <td>176.5</td>\n",
       "      <td>11.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>max</td>\n",
       "      <td>12.0</td>\n",
       "      <td>16.7</td>\n",
       "      <td>28.3</td>\n",
       "      <td>22.4</td>\n",
       "      <td>28.0</td>\n",
       "      <td>174.8</td>\n",
       "      <td>310.1</td>\n",
       "      <td>12.4</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          mm   tmin   tmax   temp     af   rain    sun  temps\n",
       "count  878.0  878.0  878.0  878.0  866.0  878.0  770.0  819.0\n",
       "mean     6.5    7.1   14.9   11.0    3.0   50.6  129.1   11.0\n",
       "std      3.5    4.5    5.8    5.1    4.7   29.8   65.1    0.7\n",
       "min      1.0   -4.6    0.8   -1.9    0.0    0.3   18.5    9.8\n",
       "25%      3.0    3.3    9.8    6.6    0.0   28.0   68.3   10.4\n",
       "50%      6.0    6.6   14.7   10.7    0.0   46.8  125.8   10.8\n",
       "75%      9.0   11.2   20.1   15.6    5.0   68.8  176.5   11.6\n",
       "max     12.0   16.7   28.3   22.4   28.0  174.8  310.1   12.4"
      ]
     },
     "execution_count": 108,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataset.describe().round(1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## We might start by just exploring the data we have.\n",
    "\n",
    "We hardly had any rain last May here. How unusual was that?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 109,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-03-16T12:25:55.941Z",
     "iopub.status.busy": "2021-03-16T12:25:55.927Z",
     "iopub.status.idle": "2021-03-16T12:25:55.973Z",
     "shell.execute_reply": "2021-03-16T12:25:55.989Z"
    },
    "slideshow": {
     "slide_type": "-"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>yyyy</th>\n",
       "      <th>mm</th>\n",
       "      <th>tmin</th>\n",
       "      <th>tmax</th>\n",
       "      <th>temp</th>\n",
       "      <th>af</th>\n",
       "      <th>rain</th>\n",
       "      <th>sun</th>\n",
       "      <th>season</th>\n",
       "      <th>decade</th>\n",
       "      <th>temps</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>1995-08</td>\n",
       "      <td>1995</td>\n",
       "      <td>8</td>\n",
       "      <td>15.6</td>\n",
       "      <td>27.0</td>\n",
       "      <td>21.30</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.3</td>\n",
       "      <td>295.3</td>\n",
       "      <td>summer</td>\n",
       "      <td>1990s</td>\n",
       "      <td>11.255000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2018-06</td>\n",
       "      <td>2018</td>\n",
       "      <td>6</td>\n",
       "      <td>13.1</td>\n",
       "      <td>24.2</td>\n",
       "      <td>18.65</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.4</td>\n",
       "      <td>234.5</td>\n",
       "      <td>summer</td>\n",
       "      <td>2010s</td>\n",
       "      <td>12.196667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1978-10</td>\n",
       "      <td>1978</td>\n",
       "      <td>10</td>\n",
       "      <td>8.4</td>\n",
       "      <td>17.1</td>\n",
       "      <td>12.75</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.6</td>\n",
       "      <td>98.4</td>\n",
       "      <td>autumn</td>\n",
       "      <td>1970s</td>\n",
       "      <td>10.724167</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2020-05</td>\n",
       "      <td>2020</td>\n",
       "      <td>5</td>\n",
       "      <td>9.1</td>\n",
       "      <td>21.1</td>\n",
       "      <td>15.10</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>308.6</td>\n",
       "      <td>spring</td>\n",
       "      <td>2020s</td>\n",
       "      <td>12.295833</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1956-02</td>\n",
       "      <td>1956</td>\n",
       "      <td>2</td>\n",
       "      <td>-3.6</td>\n",
       "      <td>2.9</td>\n",
       "      <td>-0.35</td>\n",
       "      <td>22.0</td>\n",
       "      <td>2.3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>winter</td>\n",
       "      <td>1950s</td>\n",
       "      <td>10.060833</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1959-02</td>\n",
       "      <td>1959</td>\n",
       "      <td>2</td>\n",
       "      <td>1.2</td>\n",
       "      <td>7.4</td>\n",
       "      <td>4.30</td>\n",
       "      <td>7.0</td>\n",
       "      <td>2.4</td>\n",
       "      <td>54.8</td>\n",
       "      <td>winter</td>\n",
       "      <td>1950s</td>\n",
       "      <td>10.152500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1993-02</td>\n",
       "      <td>1993</td>\n",
       "      <td>2</td>\n",
       "      <td>2.5</td>\n",
       "      <td>7.2</td>\n",
       "      <td>4.85</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.4</td>\n",
       "      <td>51.0</td>\n",
       "      <td>winter</td>\n",
       "      <td>1990s</td>\n",
       "      <td>11.378333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2011-04</td>\n",
       "      <td>2011</td>\n",
       "      <td>4</td>\n",
       "      <td>8.6</td>\n",
       "      <td>19.7</td>\n",
       "      <td>14.15</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.4</td>\n",
       "      <td>218.0</td>\n",
       "      <td>spring</td>\n",
       "      <td>2010s</td>\n",
       "      <td>11.730000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         yyyy  mm  tmin  tmax   temp    af  rain    sun  season decade  \\\n",
       "date                                                                     \n",
       "1995-08  1995   8  15.6  27.0  21.30   0.0   0.3  295.3  summer  1990s   \n",
       "2018-06  2018   6  13.1  24.2  18.65   0.0   0.4  234.5  summer  2010s   \n",
       "1978-10  1978  10   8.4  17.1  12.75   0.0   1.6   98.4  autumn  1970s   \n",
       "2020-05  2020   5   9.1  21.1  15.10   0.0   2.0  308.6  spring  2020s   \n",
       "1956-02  1956   2  -3.6   2.9  -0.35  22.0   2.3    NaN  winter  1950s   \n",
       "1959-02  1959   2   1.2   7.4   4.30   7.0   2.4   54.8  winter  1950s   \n",
       "1993-02  1993   2   2.5   7.2   4.85   2.0   2.4   51.0  winter  1990s   \n",
       "2011-04  2011   4   8.6  19.7  14.15   0.0   2.4  218.0  spring  2010s   \n",
       "\n",
       "             temps  \n",
       "date                \n",
       "1995-08  11.255000  \n",
       "2018-06  12.196667  \n",
       "1978-10  10.724167  \n",
       "2020-05  12.295833  \n",
       "1956-02  10.060833  \n",
       "1959-02  10.152500  \n",
       "1993-02  11.378333  \n",
       "2011-04  11.730000  "
      ]
     },
     "execution_count": 109,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataset[dataset.rain<=3].sort_values(by='rain')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "We can easily summarise the data. \n",
    "\n",
    "What's the average temperature for each month of the year?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-03-16T12:24:33.800Z",
     "iopub.status.busy": "2021-03-16T12:24:33.782Z",
     "iopub.status.idle": "2021-03-16T12:24:33.911Z",
     "shell.execute_reply": "2021-03-16T12:24:33.929Z"
    },
    "jupyter": {
     "outputs_hidden": false,
     "source_hidden": false
    },
    "nteract": {
     "transient": {
      "deleting": false
     }
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "date\n",
       "1      4.7\n",
       "2      5.0\n",
       "3      7.1\n",
       "4      9.6\n",
       "5     13.0\n",
       "6     16.2\n",
       "7     18.2\n",
       "8     17.9\n",
       "9     15.4\n",
       "10    11.8\n",
       "11     7.7\n",
       "12     5.5\n",
       "Name: temp, dtype: float64"
      ]
     },
     "execution_count": 110,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataset.groupby(dataset.index.month).temp.mean().round(1) "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "OK, but what does that look like on a graph?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-03-16T12:24:38.037Z",
     "iopub.status.busy": "2021-03-16T12:24:38.020Z",
     "iopub.status.idle": "2021-03-16T12:24:38.382Z",
     "shell.execute_reply": "2021-03-16T12:24:38.407Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fb831251da0>"
      ]
     },
     "execution_count": 78,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.lineplot(dataset.index.month,dataset.temp)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## Can we have a look at those season questions now?\n",
    "\n",
    "* Is winter wetter than summer?\n",
    "* Is spring hotter than autumn?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 111,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-03-16T12:26:25.189Z",
     "iopub.status.busy": "2021-03-16T12:26:25.168Z",
     "iopub.status.idle": "2021-03-16T12:26:25.229Z",
     "shell.execute_reply": "2021-03-16T12:26:25.246Z"
    },
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>tmin</th>\n",
       "      <th>tmax</th>\n",
       "      <th>temp</th>\n",
       "      <th>af</th>\n",
       "      <th>rain</th>\n",
       "      <th>sun</th>\n",
       "      <th>temps</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>season</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>winter</td>\n",
       "      <td>2.1</td>\n",
       "      <td>8.0</td>\n",
       "      <td>5.1</td>\n",
       "      <td>8.3</td>\n",
       "      <td>50.4</td>\n",
       "      <td>58.1</td>\n",
       "      <td>11.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>spring</td>\n",
       "      <td>5.6</td>\n",
       "      <td>14.2</td>\n",
       "      <td>9.9</td>\n",
       "      <td>2.0</td>\n",
       "      <td>43.6</td>\n",
       "      <td>155.6</td>\n",
       "      <td>11.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>summer</td>\n",
       "      <td>12.7</td>\n",
       "      <td>22.2</td>\n",
       "      <td>17.4</td>\n",
       "      <td>0.0</td>\n",
       "      <td>50.3</td>\n",
       "      <td>195.6</td>\n",
       "      <td>11.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>autumn</td>\n",
       "      <td>7.9</td>\n",
       "      <td>15.3</td>\n",
       "      <td>11.6</td>\n",
       "      <td>1.4</td>\n",
       "      <td>58.0</td>\n",
       "      <td>107.6</td>\n",
       "      <td>11.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        tmin  tmax  temp   af  rain    sun  temps\n",
       "season                                           \n",
       "winter   2.1   8.0   5.1  8.3  50.4   58.1   11.0\n",
       "spring   5.6  14.2   9.9  2.0  43.6  155.6   11.0\n",
       "summer  12.7  22.2  17.4  0.0  50.3  195.6   11.0\n",
       "autumn   7.9  15.3  11.6  1.4  58.0  107.6   11.0"
      ]
     },
     "execution_count": 111,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataset.groupby(dataset.season,sort=False).mean().drop(columns=['mm']).round(1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "Comparing rainfall by season:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-03-16T12:27:30.234Z",
     "iopub.status.busy": "2021-03-16T12:27:30.211Z",
     "iopub.status.idle": "2021-03-16T12:27:30.285Z",
     "shell.execute_reply": "2021-03-16T12:27:30.312Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fb83125a6d8>"
      ]
     },
     "execution_count": 81,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.boxplot(dataset.rain,dataset.season)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "OK, so there's a tiny difference between winter and summer, but is that significant?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-03-16T12:27:47.745Z",
     "iopub.status.busy": "2021-03-16T12:27:47.726Z",
     "iopub.status.idle": "2021-03-16T12:27:47.785Z",
     "shell.execute_reply": "2021-03-16T12:27:47.800Z"
    },
    "jupyter": {
     "outputs_hidden": false,
     "source_hidden": false
    },
    "nteract": {
     "transient": {
      "deleting": false
     }
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Ttest_indResult(statistic=0.041429265382103224, pvalue=0.9669725606281587)"
      ]
     },
     "execution_count": 82,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "scipy.stats.ttest_ind(dataset[dataset['season']=='winter'].rain,\n",
    "                      dataset[dataset['season']=='summer'].rain)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "What about the temperatures?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fb8313df9b0>"
      ]
     },
     "execution_count": 83,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.boxplot(dataset.temp,dataset.season)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "There's a difference between spring and autumn, but is *this* significant?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-03-16T12:28:21.124Z",
     "iopub.status.busy": "2021-03-16T12:28:21.105Z",
     "iopub.status.idle": "2021-03-16T12:28:21.158Z",
     "shell.execute_reply": "2021-03-16T12:28:21.170Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Ttest_indResult(statistic=-5.674167158484647, pvalue=2.5439971634385407e-08)"
      ]
     },
     "execution_count": 84,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "scipy.stats.ttest_ind(dataset[dataset['season']=='spring'].temp,\n",
    "                      dataset[dataset['season']=='autumn'].temp)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## Are these measurements related? \n",
    "\n",
    "Is there a link between temperature and rainfall?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-03-16T12:28:51.013Z",
     "iopub.status.busy": "2021-03-16T12:28:50.988Z",
     "iopub.status.idle": "2021-03-16T12:28:51.151Z",
     "shell.execute_reply": "2021-03-16T12:28:51.181Z"
    },
    "slideshow": {
     "slide_type": "-"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fb8234cb588>"
      ]
     },
     "execution_count": 85,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.scatterplot(dataset.rain,dataset.temp,hue=dataset.season)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "What about between sunshine and temperature?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-03-16T12:29:02.822Z",
     "iopub.status.busy": "2021-03-16T12:29:02.800Z",
     "iopub.status.idle": "2021-03-16T12:29:02.951Z",
     "shell.execute_reply": "2021-03-16T12:29:02.983Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fb823c66c88>"
      ]
     },
     "execution_count": 86,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.scatterplot(dataset.sun,dataset.temp,hue=dataset.season)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## Does this data have anything to say about climate change?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "How has the temperature varied over the years the data has been collected?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-03-16T12:29:12.819Z",
     "iopub.status.busy": "2021-03-16T12:29:12.740Z",
     "iopub.status.idle": "2021-03-16T12:29:12.928Z",
     "shell.execute_reply": "2021-03-16T12:29:12.952Z"
    },
    "jupyter": {
     "outputs_hidden": false,
     "source_hidden": false
    },
    "nteract": {
     "transient": {
      "deleting": false
     }
    },
    "slideshow": {
     "slide_type": "-"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fb830d7a048>"
      ]
     },
     "execution_count": 87,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.lineplot(dataset.index.end_time,dataset.temp)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "source": [
    "So there's a periodic pattern - summers *are* warmer than winters, but is there any overall trend?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-03-16T12:33:48.350Z",
     "iopub.status.busy": "2021-03-16T12:33:48.330Z",
     "iopub.status.idle": "2021-03-16T12:33:49.431Z",
     "shell.execute_reply": "2021-03-16T12:33:49.459Z"
    },
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fb8004e1320>"
      ]
     },
     "execution_count": 112,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "dataset1=dataset[dataset.index<2021]\n",
    "sns.lineplot(dataset1.index.year,dataset1.temp)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "source": [
    "Well, it seems to be sloping up a bit, but it's a bit hard to see.\n",
    "\n",
    "Are there any other ways to visualise this?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-03-16T12:33:56.550Z",
     "iopub.status.busy": "2021-03-16T12:33:56.536Z",
     "iopub.status.idle": "2021-03-16T12:33:56.587Z",
     "shell.execute_reply": "2021-03-16T12:33:56.599Z"
    },
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fb82348b0b8>"
      ]
     },
     "execution_count": 113,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAjwAAAFUCAYAAAAgQOYwAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4xLjMsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+AADFEAAAHzUlEQVR4nO3bv6vVdRzH8aNoXq+ZCKZYiEqQFClEVhQUJkVBa9DS1NDUEAUVQUGtrUFT0BTRj8mlqSYDUxwSyyAlNPuhlZBpeRVPf8H3AwUiPHk81hfvw+H++N4nB+6y+Xw+nwEAhC2/3m8AAOBaEzwAQJ7gAQDyBA8AkCd4AIA8wQMA5K0YjUe+/3Vy2/bHoeELf/jnk8P9wsXp/4Y/c3ZpeLtn97Lh/vlXVye39etvGN/u+3pye+eN9cPb/ae2DvenVu+b3A4sPja83b54erg/+8qZye3KpfHX88XXHxruX3z51+S298E1w9uFldPfi9lsNjt5duXktmXD5eHtuoVLw33tyouT29EzNw9vN940fu2RrYs/D/dN576b3Pav2Du8vbg0/JWdHToy/TW7a8f4Z/+fpfHv1Z6txye3dX9PPytms9nst9VbhvsnB2+Z3M6fH/8c3LZ9YXJ7YNsvw9uN77083EeOPfPucN95ZfyMPLV4x+R2++H3h7dLp38a7vsfeXty2/3pc8PbtXfvGu6XTpyY3Fbdcefw9vKm6WfkhY8+GN7Or46fJTduu3VyW76wanh78rMDw33zfTsmt5UPPzq8XX78m+G+f9dLk9um154Y3m5989XhfmHNpsnt8M6nh7f3vHDv5La4ecPw9tyxH4b7jwdPTW5b7h//Hf324+nn52w2mz3++9HJzSc8AECe4AEA8gQPAJAneACAPMEDAOQJHgAgT/AAAHmCBwDIEzwAQJ7gAQDyBA8AkCd4AIA8wQMA5AkeACBP8AAAeYIHAMgTPABAnuABAPIEDwCQJ3gAgDzBAwDkCR4AIE/wAAB5ggcAyBM8AECe4AEA8gQPAJAneACAPMEDAOQJHgAgT/AAAHmCBwDIEzwAQJ7gAQDyBA8AkCd4AIA8wQMA5AkeACBP8AAAeYIHAMgTPABAnuABAPIEDwCQJ3gAgDzBAwDkCR4AIE/wAAB5ggcAyBM8AECe4AEA8gQPAJAneACAPMEDAOQJHgAgT/AAAHmCBwDIEzwAQJ7gAQDyBA8AkCd4AIA8wQMA5AkeACBP8AAAeYIHAMgTPABAnuABAPIEDwCQJ3gAgDzBAwDkCR4AIE/wAAB5ggcAyBM8AECe4AEA8gQPAJAneACAPMEDAOQJHgAgT/AAAHmCBwDIEzwAQJ7gAQDyBA8AkCd4AIA8wQMA5AkeACBP8AAAeYIHAMgTPABAnuABAPIEDwCQJ3gAgDzBAwDkCR4AIE/wAAB5ggcAyBM8AECe4AEA8gQPAJAneACAPMEDAOQJHgAgT/AAAHmCBwDIEzwAQJ7gAQDyBA8AkCd4AIA8wQMA5AkeACBP8AAAeYIHAMgTPABAnuABAPIEDwCQJ3gAgDzBAwDkCR4AIE/wAAB5ggcAyBM8AECe4AEA8gQPAJAneACAPMEDAOQJHgAgT/AAAHmCBwDIEzwAQJ7gAQDyBA8AkCd4AIA8wQMA5AkeACBP8AAAeYIHAMgTPABAnuABAPIEDwCQJ3gAgDzBAwDkCR4AIE/wAAB5ggcAyBM8AECe4AEA8gQPAJAneACAPMEDAOQJHgAgT/AAAHmCBwDIEzwAQJ7gAQDyBA8AkCd4AIA8wQMA5AkeACBP8AAAeYIHAMgTPABAnuABAPIEDwCQJ3gAgDzBAwDkCR4AIE/wAAB5ggcAyBM8AECe4AEA8gQPAJAneACAPMEDAOQJHgAgT/AAAHmCBwDIEzwAQJ7gAQDyBA8AkCd4AIA8wQMA5AkeACBP8AAAeYIHAMgTPABAnuABAPIEDwCQJ3gAgDzBAwDkCR4AIE/wAAB5ggcAyBM8AECe4AEA8gQPAJAneACAPMEDAOQJHgAgT/AAAHmCBwDIEzwAQJ7gAQDyBA8AkCd4AIA8wQMA5AkeACBP8AAAeYIHAMgTPABAnuABAPIEDwCQJ3gAgDzBAwDkCR4AIE/wAAB5ggcAyBM8AECe4AEA8gQPAJAneACAPMEDAOQJHgAgT/AAAHmCBwDIEzwAQJ7gAQDyBA8AkCd4AIA8wQMA5AkeACBP8AAAeYIHAMgTPABAnuABAPIEDwCQJ3gAgDzBAwDkCR4AIE/wAAB5ggcAyBM8AECe4AEA8gQPAJAneACAPMEDAOQJHgAgT/AAAHmCBwDIEzwAQJ7gAQDyBA8AkCd4AIA8wQMA5AkeACBP8AAAeYIHAMgTPABAnuABAPIEDwCQJ3gAgDzBAwDkCR4AIE/wAAB5ggcAyBM8AECe4AEA8gQPAJAneACAPMEDAOQJHgAgT/AAAHmCBwDIEzwAQJ7gAQDyBA8AkCd4AIA8wQMA5AkeACBP8AAAeYIHAMgTPABAnuABAPIEDwCQJ3gAgDzBAwDkCR4AIE/wAAB5ggcAyBM8AECe4AEA8gQPAJAneACAPMEDAOQJHgAgT/AAAHmCBwDIEzwAQJ7gAQDyBA8AkCd4AIA8wQMA5AkeACBP8AAAeYIHAMgTPABAnuABAPIEDwCQJ3gAgDzBAwDkCR4AIE/wAAB5ggcAyBM8AECe4AEA8gQPAJAneACAPMEDAOQJHgAgT/AAAHmCBwDIEzwAQJ7gAQDyBA8AkCd4AIA8wfMfPP/Wuev9FgCA/2HZfD6fX+83AQBwLfmEBwDIEzwAQJ7gAQDyBA8AkCd4AIA8wQMA5P0LI4l4fqShWiAAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "annual=dataset.resample('A').mean()\n",
    "annual=annual[annual.index<2021]\n",
    "sns.heatmap([annual['temp']],cbar=False,xticklabels=False,yticklabels=False,cmap='coolwarm')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "Hey, that looks great. Could we get that on flipflops maybe? \n",
    "More details [here](https://en.wikipedia.org/wiki/Warming_stripes). \n",
    "\n",
    "![Warming Stripes](https://cdn.vox-cdn.com/uploads/chorus_asset/file/15274135/Screen_Shot_2019_03_04_at_12.05.58_PM.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "OK, so that's year by year. What about over the decades?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-03-16T12:34:14.514Z",
     "iopub.status.busy": "2021-03-16T12:34:14.495Z",
     "iopub.status.idle": "2021-03-16T12:34:14.668Z",
     "shell.execute_reply": "2021-03-16T12:34:14.702Z"
    },
    "slideshow": {
     "slide_type": "-"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fb810eadf98>"
      ]
     },
     "execution_count": 90,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.lineplot(dataset.decade,dataset.temp)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "source": [
    "But you've only got a year and a bit of data from the 1940s, and just 14 months from the 2020s. \n",
    "\n",
    "Can't we get rid of those years?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-03-16T12:34:49.858Z",
     "iopub.status.busy": "2021-03-16T12:34:49.839Z",
     "iopub.status.idle": "2021-03-16T12:34:49.998Z",
     "shell.execute_reply": "2021-03-16T12:34:50.018Z"
    },
    "jupyter": {
     "outputs_hidden": false,
     "source_hidden": false
    },
    "nteract": {
     "transient": {
      "deleting": false
     }
    },
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fb8243590b8>"
      ]
     },
     "execution_count": 91,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "dataset2=dataset[(dataset.index.year>1949) & (dataset.index.year<2020)]\n",
    "sns.lineplot(dataset2.decade,dataset2.temp)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "What about a five year, rolling average?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-03-16T12:34:56.718Z",
     "iopub.status.busy": "2021-03-16T12:34:56.701Z",
     "iopub.status.idle": "2021-03-16T12:34:56.885Z",
     "shell.execute_reply": "2021-03-16T12:34:56.911Z"
    },
    "jupyter": {
     "outputs_hidden": false,
     "source_hidden": false
    },
    "nteract": {
     "transient": {
      "deleting": false
     }
    },
    "slideshow": {
     "slide_type": "-"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fb8243c41d0>"
      ]
     },
     "execution_count": 92,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "dataset['temps']=dataset.temp.rolling(window=60).mean()\n",
    "sns.lineplot(dataset.index.end_time,dataset.temps)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true,
    "jupyter": {
     "outputs_hidden": false,
     "source_hidden": false
    },
    "nteract": {
     "transient": {
      "deleting": false
     }
    },
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# Implications\n",
    "\n",
    "## Ethics in the time of coronavirus\n",
    "\n",
    "Cynicism and skepticism"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# Trust no one"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "# DO NOT TRY THIS AT HOME!\n",
    "\n",
    "The following three slides are intended to illustrate some mistakes and dangers in conducting online surveys, particularly with young people. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "## Take my survey!\n",
    "\n",
    "![Covid survey part 1](covidsurvey1.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "## Take my survey!\n",
    "\n",
    "![Covid survey part 2](covidsurvey2.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "## Take my survey!\n",
    "\n",
    "![Covid survey part 3](covidsurvey3.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## London, 1854\n",
    "\n",
    "![John Snow's map of cholera cases](snow.jpg)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## Mobility trends\n",
    "\n",
    "![Mobility trends](mobility.png)\n",
    "\n",
    "[Apple](https://covid19.apple.com/mobility)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "## Phone locations\n",
    "\n",
    "![Google Mobility report](googlemobility.png)\n",
    "\n",
    "[Google](https://www.google.com/covid19/mobility/)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "## TraceTogether\n",
    "\n",
    "![TraceTogether](tracetogether.jpg)\n",
    "\n",
    "> “Data will only be used for Covid-19 contact tracing.”\n",
    "\n",
    "...\n",
    "\n",
    "> \"Also, we want to be transparent with you. TraceTogether data may be used in circumstances where citizen safety and security is or has been affected ... The Singapore Police Force is empowered under the CPC to obtain any data, including TraceTogether data, for criminal investigations.”"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "## Asymptomatic testing\n",
    "\n",
    "> You will need to satisfy yourself that you have a lawful basis for processing the personal data. You might want to consider whether the duties prescribed in educaiton legislation on schools ... to make arrangements to safeguard and promote the welfare of pupils provide sufficeient legal basis without having to rely on consent.\n",
    "\n",
    "[DfE, 2020](https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/950515/Schools_Colleges_Testing_Handbook_revised_04012021.pdf)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## Question everything"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## 100,000 tests a day, by the end of April!\n",
    "\n",
    "![tests on 30 April](covidtests.jpeg)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "## ... and then what?\n",
    "\n",
    "![daily tests, 30 April](dailytests.png)\n",
    "\n",
    "[UK Government, May 9 2020](https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/884010/2020-05-09_COVID-19_Press_Conference_Slides__7_.pdf)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "## But actually...\n",
    "\n",
    "![Testing figures](testing.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## On easing lockdown 1.0\n",
    "\n",
    "![R and lockdown](rgraph.png)\n",
    "\n",
    "[Boris Johnson, May 10 2020](https://www.youtube.com/watch?&v=bjvRhrJqNHI)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## COVID Alert\n",
    "\n",
    "![Alert status](alerts.png)\n",
    "\n",
    "[Boris Johnson, May 10 2020](https://www.youtube.com/watch?&v=bjvRhrJqNHI)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "## Calculating the alert level\n",
    "\n",
    "![Equation](equation.png)\n",
    "\n",
    "[Boris Johnson, May 10 2020](https://www.youtube.com/watch?&v=bjvRhrJqNHI)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "source": [
    "On current figures, the alert level is 4,307,304.6 to 4,307,304.9"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# Questions?\n",
    "\n",
    "This notebook: [bit.ly/osirisds](http://bit.ly/osirisds)\n",
    "\n",
    "m.berry@roehampton.ac.uk\n",
    "\n",
    "[milesberry.net](http://milesberry.net)\n",
    "\n",
    "[@mberry](http://twitter.com/mberry)\n"
   ]
  }
 ],
 "metadata": {
  "celltoolbar": "Slideshow",
  "colab": {
   "name": "dicerolling.ipynb",
   "provenance": []
  },
  "kernelspec": {
   "display_name": "Python 3",
   "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": "3.6.10"
  },
  "livereveal": {
   "autolaunch": true
  },
  "nteract": {
   "version": "0.25.0"
  },
  "rise": {
   "autolaunch": true,
   "scroll": true,
   "theme": "simple"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}