data challenge_bug.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Introduction\n",
    "\n",
    "#SWDchallenge: visualize THIS data!\n",
    "MARCH 01, 2019 BY COLE NUSSBAUMER KNAFLIC\n",
    "UPDATE: It seems we may have overcomplicated things this time around. Let’s simplify!\n",
    "\n",
    "You can download the file with country-to-country donations here. Create a visual to ANSWER ONE QUESTION: WHO DONATES? (Related subquestions you may also answer: How are donations distributed across countries?\n",
    "* Who donates to whom? Are there any patterns, for example some group of countries tends to donate only to some specific group of other countries?)\n",
    "*  How are donations distributed across countries?\n",
    "\n",
    "* SHARE: Tweet your graph(s) or post publicly and email the link to SWDchallenge@storytellingwithdata.com.\n",
    "\n",
    "NEW EXTENDED DEADLINE: Friday, March 15th (midnight PST). \n",
    "\n",
    "You’re of course welcome to do more (original full instructions follow), but our hopes are that simplifying will boost participation and we’ll get enough content to push some important data viz research forward!"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Background\n",
    "Country to Country donation with data from AidData Core Research from 1947-2013"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-03-14T03:58:59.145488Z",
     "start_time": "2019-03-14T03:58:58.880026Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "DataTransformerRegistry.enable('json')"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import qgrid\n",
    "import altair as alt\n",
    "\n",
    "from altair import X,Y,Color, Order, EncodingSortField\n",
    "from pathlib import Path\n",
    "alt.data_transformers.enable('json')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-03-14T01:56:22.898494Z",
     "start_time": "2019-03-14T01:56:22.895486Z"
    }
   },
   "outputs": [],
   "source": [
    "DATA = Path('data')\n",
    "df = pd.read_csv(DATA/'aiddata-countries-only.csv',index_col=0)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Theme"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "ThemeRegistry.enable('my_custom_theme')"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def urban_theme():\n",
    "    markColor = \"#1696d2\"\n",
    "    axisColor = \"#000000\"\n",
    "    backgroundColor = \"#FFFFFF\"\n",
    "    font = \"Lato\"\n",
    "    labelFont = \"Lato\"\n",
    "    sourceFont = \"Lato\"\n",
    "    gridColor = \"#DEDDDD\"\n",
    "    main_palette = [\"#1696d2\", \n",
    "                    \"#d2d2d2\",\n",
    "                    \"#000000\", \n",
    "                    \"#fdbf11\", \n",
    "                    \"#ec008b\", \n",
    "                    \"#55b748\", \n",
    "                    \"#5c5859\", \n",
    "                    \"#db2b27\", \n",
    "                   ]\n",
    "    sequential_palette = [\"#cfe8f3\", \n",
    "                          \"#a2d4ec\", \n",
    "                          \"#73bfe2\", \n",
    "                          \"#46abdb\", \n",
    "                          \"#1696d2\", \n",
    "                          \"#12719e\", \n",
    "                         ]\n",
    "    return {\n",
    "        \"width\": 685,\n",
    "        \"height\": 380,   \n",
    "#        \"autosize\": \"fit\",\n",
    "        \"config\": {\n",
    "            \"title\": {\n",
    "                \"anchor\": \"start\",\n",
    "                \"fontSize\": 18,\n",
    "                \"font\": font,\n",
    "                \"fontColor\": \"#000000\"\n",
    "            },\n",
    "            \"axisX\": {\n",
    "               \"domain\": True,\n",
    "               \"domainColor\": axisColor,\n",
    "               \"domainWidth\": 1,\n",
    "               \"grid\": False,\n",
    "               \"labelFontSize\": 12,\n",
    "               \"labelFont\": labelFont,\n",
    "               \"labelAngle\": 0,\n",
    "               \"tickColor\": axisColor,\n",
    "               \"tickSize\": 5,\n",
    "               \"titleFontSize\": 12,\n",
    "               \"titlePadding\": 10,\n",
    "               \"titleFont\": font,\n",
    "               \"title\": \"\",\n",
    "           },\n",
    "           \"axisY\": {\n",
    "               \"domain\": False,\n",
    "               \"grid\": True,\n",
    "               \"gridColor\": gridColor,\n",
    "               \"gridWidth\": 1,\n",
    "               \"labelFontSize\": 12,\n",
    "               \"labelFont\": labelFont,\n",
    "               \"labelPadding\": 8,\n",
    "               \"ticks\": False,\n",
    "               \"titleFontSize\": 12,\n",
    "               \"titlePadding\": 10,\n",
    "               \"titleFont\": font,\n",
    "               \"titleAngle\": 0,\n",
    "               \"titleY\": -10,\n",
    "               \"titleX\": 18,\n",
    "           },\n",
    "           \"background\": backgroundColor,\n",
    "           \"legend\": {\n",
    "               \"labelFontSize\": 12,\n",
    "               \"labelFont\": labelFont,\n",
    "               \"symbolSize\": 100,\n",
    "               \"symbolType\": \"square\",\n",
    "               \"titleFontSize\": 12,\n",
    "               \"titlePadding\": 10,\n",
    "               \"titleFont\": font,\n",
    "               \"title\": \"\",\n",
    "               \"orient\": \"top-left\",\n",
    "               \"offset\": 0,\n",
    "           },\n",
    "           \"view\": {\n",
    "               \"stroke\": \"transparent\",\n",
    "           },\n",
    "           \"range\": {\n",
    "               \"category\": main_palette,\n",
    "               \"diverging\": sequential_palette,\n",
    "           },\n",
    "           \"area\": {\n",
    "               \"fill\": markColor,\n",
    "           },\n",
    "           \"line\": {\n",
    "               \"color\": markColor,\n",
    "               \"stroke\": markColor,\n",
    "               \"strokewidth\": 5,\n",
    "           },\n",
    "           \"trail\": {\n",
    "               \"color\": markColor,\n",
    "               \"stroke\": markColor,\n",
    "               \"strokeWidth\": 0,\n",
    "               \"size\": 1,\n",
    "           },\n",
    "           \"path\": {\n",
    "               \"stroke\": markColor,\n",
    "               \"strokeWidth\": 0.5,\n",
    "           },\n",
    "           \"point\": {\n",
    "               \"filled\": True,\n",
    "           },\n",
    "           \"text\": {\n",
    "               \"font\": sourceFont,\n",
    "               \"color\": markColor,\n",
    "               \"fontSize\": 11,\n",
    "               \"align\": \"right\",\n",
    "               \"fontWeight\": 400,\n",
    "               \"size\": 11,\n",
    "           }, \n",
    "           \"bar\": {\n",
    "                \"size\": 40,\n",
    "                \"binSpacing\": 1,\n",
    "                \"continuousBandSize\": 30,\n",
    "                \"discreteBandSize\": 30,\n",
    "                \"fill\": markColor,\n",
    "                \"stroke\": False,\n",
    "            }, \n",
    "       },\n",
    "    }\n",
    "    \n",
    "    \n",
    "import altair as alt\n",
    "alt.themes.register(\"my_custom_theme\", urban_theme)\n",
    "alt.themes.enable(\"my_custom_theme\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Without Cross Filtering"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "brush = alt.selection(type='interval', encodings=['y'])\n",
    "sort=alt.EncodingSortField(\n",
    "            field=\"commitment_amount_usd_constant\",  # The field to use for the sort\n",
    "            op=\"sum\",  # The operation to run on the field prior to sorting\n",
    "            order=\"descending\"  # The order to sort in\n",
    "        )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_donor = df[['donor','commitment_amount_usd_constant']].groupby(['donor']).sum().reset_index()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "chart_donor_group = (alt.Chart(df_donor)# df_donor\n",
    " .mark_bar()\n",
    " .encode(y=Y('donor:N', sort=sort,title=''),\n",
    "         x=X('sum(commitment_amount_usd_constant):Q', title='Amount'),\n",
    "         tooltip=['sum(commitment_amount_usd_constant):Q'],\n",
    "         color=alt.condition(brush, alt.value('#1696d2'), alt.value('lightgray'))\n",
    ").transform_window(\n",
    "    rank='rank(commitment_amount_usd_constant)',\n",
    "    sort=[alt.SortField('commitment_amount_usd_constant', order='descending')]\n",
    ").transform_filter(\n",
    "    (alt.datum.rank <= 10)\n",
    ").add_selection(brush)\n",
    "              )\n",
    "\n",
    "chart_donor_group.title = 'Top 10 Donors'\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_recipient = df[['donor','recipient','commitment_amount_usd_constant']].groupby(['donor','recipient']).sum().reset_index()\n",
    "top20_recipient = df_recipient[['recipient','commitment_amount_usd_constant']].groupby('recipient').sum().nlargest(20,'commitment_amount_usd_constant').index.values\n",
    "df_recipient_top20 = df_recipient[df_recipient['recipient'].isin(top20_recipient)]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "chart_recipient = (alt.Chart(df_recipient) #df_recipient_top20\n",
    " .mark_bar()\n",
    " .encode(y=Y('recipient:N', sort=sort,title=''),\n",
    "         x=X('sum(commitment_amount_usd_constant):Q', title='Amount')\n",
    "))\n",
    "\n",
    "chart_recipient.title='Top 20 Receipients in the world'\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.vegalite.v2+json": {
       "$schema": "https://vega.github.io/schema/vega-lite/v2.6.0.json",
       "config": {
        "area": {
         "fill": "#1696d2"
        },
        "axisX": {
         "domain": true,
         "domainColor": "#000000",
         "domainWidth": 1,
         "grid": false,
         "labelAngle": 0,
         "labelFont": "Lato",
         "labelFontSize": 12,
         "tickColor": "#000000",
         "tickSize": 5,
         "title": "",
         "titleFont": "Lato",
         "titleFontSize": 12,
         "titlePadding": 10
        },
        "axisY": {
         "domain": false,
         "grid": true,
         "gridColor": "#DEDDDD",
         "gridWidth": 1,
         "labelFont": "Lato",
         "labelFontSize": 12,
         "labelPadding": 8,
         "ticks": false,
         "titleAngle": 0,
         "titleFont": "Lato",
         "titleFontSize": 12,
         "titlePadding": 10,
         "titleX": 18,
         "titleY": -10
        },
        "background": "#FFFFFF",
        "bar": {
         "binSpacing": 1,
         "continuousBandSize": 30,
         "discreteBandSize": 30,
         "fill": "#1696d2",
         "size": 40,
         "stroke": false
        },
        "legend": {
         "labelFont": "Lato",
         "labelFontSize": 12,
         "offset": 0,
         "orient": "top-left",
         "symbolSize": 100,
         "symbolType": "square",
         "title": "",
         "titleFont": "Lato",
         "titleFontSize": 12,
         "titlePadding": 10
        },
        "line": {
         "color": "#1696d2",
         "stroke": "#1696d2",
         "strokewidth": 5
        },
        "path": {
         "stroke": "#1696d2",
         "strokeWidth": 0.5
        },
        "point": {
         "filled": true
        },
        "range": {
         "category": [
          "#1696d2",
          "#d2d2d2",
          "#000000",
          "#fdbf11",
          "#ec008b",
          "#55b748",
          "#5c5859",
          "#db2b27"
         ],
         "diverging": [
          "#cfe8f3",
          "#a2d4ec",
          "#73bfe2",
          "#46abdb",
          "#1696d2",
          "#12719e"
         ]
        },
        "text": {
         "align": "right",
         "color": "#1696d2",
         "font": "Lato",
         "fontSize": 11,
         "fontWeight": 400,
         "size": 11
        },
        "title": {
         "anchor": "start",
         "font": "Lato",
         "fontColor": "#000000",
         "fontSize": 18
        },
        "trail": {
         "color": "#1696d2",
         "size": 1,
         "stroke": "#1696d2",
         "strokeWidth": 0
        },
        "view": {
         "stroke": "transparent"
        }
       },
       "hconcat": [
        {
         "data": {
          "format": {
           "type": "json"
          },
          "url": "altair-data-51e7b2fdbf4df9fd023e5a31408ca514.json"
         },
         "encoding": {
          "color": {
           "condition": {
            "selection": "selector003",
            "value": "#1696d2"
           },
           "value": "lightgray"
          },
          "tooltip": [
           {
            "aggregate": "sum",
            "field": "commitment_amount_usd_constant",
            "type": "quantitative"
           }
          ],
          "x": {
           "aggregate": "sum",
           "field": "commitment_amount_usd_constant",
           "title": "Amount",
           "type": "quantitative"
          },
          "y": {
           "field": "donor",
           "sort": {
            "field": "commitment_amount_usd_constant",
            "op": "sum",
            "order": "descending"
           },
           "title": "",
           "type": "nominal"
          }
         },
         "mark": "bar",
         "selection": {
          "selector003": {
           "encodings": [
            "y"
           ],
           "mark": {
            "fill": "#333",
            "fillOpacity": 0.125,
            "stroke": "white"
           },
           "on": "[mousedown, window:mouseup] > window:mousemove!",
           "resolve": "global",
           "translate": "[mousedown, window:mouseup] > window:mousemove!",
           "type": "interval",
           "zoom": "wheel!"
          }
         },
         "title": "Top 10 Donors",
         "transform": [
          {
           "sort": [
            {
             "field": "commitment_amount_usd_constant",
             "order": "descending"
            }
           ],
           "window": [
            {
             "as": "rank",
             "field": "commitment_amount_usd_constant",
             "op": "rank"
            }
           ]
          },
          {
           "filter": "(datum.rank <= 10)"
          }
         ]
        },
        {
         "data": {
          "format": {
           "type": "json"
          },
          "url": "altair-data-59b7d8e72427b16ca58fa4ab6eb8a3af.json"
         },
         "encoding": {
          "x": {
           "aggregate": "sum",
           "field": "commitment_amount_usd_constant",
           "title": "Amount",
           "type": "quantitative"
          },
          "y": {
           "field": "recipient",
           "sort": {
            "field": "commitment_amount_usd_constant",
            "op": "sum",
            "order": "descending"
           },
           "title": "",
           "type": "nominal"
          }
         },
         "mark": "bar",
         "title": "Top 20 Receipients in the world"
        }
       ],
       "height": 380,
       "width": 685
      },
      "image/png": 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",
      "text/plain": [
       "<VegaLite 2 object>\n",
       "\n",
       "If you see this message, it means the renderer has not been properly enabled\n",
       "for the frontend that you are using. For more information, see\n",
       "https://altair-viz.github.io/user_guide/troubleshooting.html\n"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "final_chart = chart_donor_group | chart_recipient\n",
    "final_chart"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# When added cross filter, the order cannot be keep"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [],
   "source": [
    "highlight = chart_recipient.encode(\n",
    "    color=alt.value('goldenrod')\n",
    ").transform_filter(brush)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.vegalite.v2+json": {
       "$schema": "https://vega.github.io/schema/vega-lite/v2.6.0.json",
       "config": {
        "area": {
         "fill": "#1696d2"
        },
        "axisX": {
         "domain": true,
         "domainColor": "#000000",
         "domainWidth": 1,
         "grid": false,
         "labelAngle": 0,
         "labelFont": "Lato",
         "labelFontSize": 12,
         "tickColor": "#000000",
         "tickSize": 5,
         "title": "",
         "titleFont": "Lato",
         "titleFontSize": 12,
         "titlePadding": 10
        },
        "axisY": {
         "domain": false,
         "grid": true,
         "gridColor": "#DEDDDD",
         "gridWidth": 1,
         "labelFont": "Lato",
         "labelFontSize": 12,
         "labelPadding": 8,
         "ticks": false,
         "titleAngle": 0,
         "titleFont": "Lato",
         "titleFontSize": 12,
         "titlePadding": 10,
         "titleX": 18,
         "titleY": -10
        },
        "background": "#FFFFFF",
        "bar": {
         "binSpacing": 1,
         "continuousBandSize": 30,
         "discreteBandSize": 30,
         "fill": "#1696d2",
         "size": 40,
         "stroke": false
        },
        "legend": {
         "labelFont": "Lato",
         "labelFontSize": 12,
         "offset": 0,
         "orient": "top-left",
         "symbolSize": 100,
         "symbolType": "square",
         "title": "",
         "titleFont": "Lato",
         "titleFontSize": 12,
         "titlePadding": 10
        },
        "line": {
         "color": "#1696d2",
         "stroke": "#1696d2",
         "strokewidth": 5
        },
        "path": {
         "stroke": "#1696d2",
         "strokeWidth": 0.5
        },
        "point": {
         "filled": true
        },
        "range": {
         "category": [
          "#1696d2",
          "#d2d2d2",
          "#000000",
          "#fdbf11",
          "#ec008b",
          "#55b748",
          "#5c5859",
          "#db2b27"
         ],
         "diverging": [
          "#cfe8f3",
          "#a2d4ec",
          "#73bfe2",
          "#46abdb",
          "#1696d2",
          "#12719e"
         ]
        },
        "text": {
         "align": "right",
         "color": "#1696d2",
         "font": "Lato",
         "fontSize": 11,
         "fontWeight": 400,
         "size": 11
        },
        "title": {
         "anchor": "start",
         "font": "Lato",
         "fontColor": "#000000",
         "fontSize": 18
        },
        "trail": {
         "color": "#1696d2",
         "size": 1,
         "stroke": "#1696d2",
         "strokeWidth": 0
        },
        "view": {
         "stroke": "transparent"
        }
       },
       "hconcat": [
        {
         "data": {
          "format": {
           "type": "json"
          },
          "url": "altair-data-51e7b2fdbf4df9fd023e5a31408ca514.json"
         },
         "encoding": {
          "color": {
           "condition": {
            "selection": "selector003",
            "value": "#1696d2"
           },
           "value": "lightgray"
          },
          "tooltip": [
           {
            "aggregate": "sum",
            "field": "commitment_amount_usd_constant",
            "type": "quantitative"
           }
          ],
          "x": {
           "aggregate": "sum",
           "field": "commitment_amount_usd_constant",
           "title": "Amount",
           "type": "quantitative"
          },
          "y": {
           "field": "donor",
           "sort": {
            "field": "commitment_amount_usd_constant",
            "op": "sum",
            "order": "descending"
           },
           "title": "",
           "type": "nominal"
          }
         },
         "mark": "bar",
         "selection": {
          "selector003": {
           "encodings": [
            "y"
           ],
           "mark": {
            "fill": "#333",
            "fillOpacity": 0.125,
            "stroke": "white"
           },
           "on": "[mousedown, window:mouseup] > window:mousemove!",
           "resolve": "global",
           "translate": "[mousedown, window:mouseup] > window:mousemove!",
           "type": "interval",
           "zoom": "wheel!"
          }
         },
         "title": "Top 10 Donors",
         "transform": [
          {
           "sort": [
            {
             "field": "commitment_amount_usd_constant",
             "order": "descending"
            }
           ],
           "window": [
            {
             "as": "rank",
             "field": "commitment_amount_usd_constant",
             "op": "rank"
            }
           ]
          },
          {
           "filter": "(datum.rank <= 10)"
          }
         ]
        },
        {
         "layer": [
          {
           "data": {
            "format": {
             "type": "json"
            },
            "url": "altair-data-59b7d8e72427b16ca58fa4ab6eb8a3af.json"
           },
           "encoding": {
            "x": {
             "aggregate": "sum",
             "field": "commitment_amount_usd_constant",
             "title": "Amount",
             "type": "quantitative"
            },
            "y": {
             "field": "recipient",
             "sort": {
              "field": "commitment_amount_usd_constant",
              "op": "sum",
              "order": "descending"
             },
             "title": "",
             "type": "nominal"
            }
           },
           "mark": "bar",
           "title": "Top 20 Receipients in the world"
          },
          {
           "data": {
            "format": {
             "type": "json"
            },
            "url": "altair-data-59b7d8e72427b16ca58fa4ab6eb8a3af.json"
           },
           "encoding": {
            "color": {
             "value": "goldenrod"
            },
            "x": {
             "aggregate": "sum",
             "field": "commitment_amount_usd_constant",
             "title": "Amount",
             "type": "quantitative"
            },
            "y": {
             "field": "recipient",
             "sort": {
              "field": "commitment_amount_usd_constant",
              "op": "sum",
              "order": "descending"
             },
             "title": "",
             "type": "nominal"
            }
           },
           "mark": "bar",
           "title": "Top 20 Receipients in the world",
           "transform": [
            {
             "filter": {
              "selection": "selector003"
             }
            }
           ]
          }
         ]
        }
       ],
       "height": 380,
       "width": 685
      },
      "image/png": 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",
      "text/plain": [
       "<VegaLite 2 object>\n",
       "\n",
       "If you see this message, it means the renderer has not been properly enabled\n",
       "for the frontend that you are using. For more information, see\n",
       "https://altair-viz.github.io/user_guide/troubleshooting.html\n"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    " chart_donor_group | (chart_recipient + highlight )"
   ]
  },
  {
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