diff --git "a/notebooks/land-defenders.ipynb" "b/notebooks/land-defenders.ipynb"
new file mode 100644--- /dev/null
+++ "b/notebooks/land-defenders.ipynb"
@@ -0,0 +1,21620 @@
+{
+ "cells": [
+ {
+ "cell_type": "code",
+ "execution_count": 2,
+ "id": "e5796ea3-239d-4094-a0d5-76220b307f07",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "import pandas as pd\n",
+ "import plotly.express as px\n",
+ "import numpy as np\n",
+ "from plotly.subplots import make_subplots"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "4e7fd459-3ced-4d75-9a94-fff1bc3a57c1",
+ "metadata": {},
+ "source": [
+ "# Lethal attacks against land and environmental defenders between 2012 and 2021\n",
+ "### source: Global Witness (www.globalwitness.org)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 3,
+ "id": "8c398b21-b3de-4206-9fee-483e07e01a15",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# Loading data from Global Witness (https://www.globalwitness.org/en/campaigns/environmental-activists/numbers-lethal-attacks-against-defenders-2012/)\n",
+ "gw_data = pd.read_csv(\"global_witness_led_22-09-22.csv\")"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "d8feb068-e28a-48d6-90e2-f7b9d4cfa969",
+ "metadata": {},
+ "source": [
+ "Columns of the CSV file:"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 4,
+ "id": "c74ed5cf-9cf5-455d-8f44-3952c9d4714f",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "Index(['id', 'date', 'name', 'gender', 'age', 'person_characteristics',\n",
+ " 'industry_driver', 'perpetrator_type', 'continent', 'country',\n",
+ " 'country_numeric', 'local_region', 'number_of_victims'],\n",
+ " dtype='object')"
+ ]
+ },
+ "execution_count": 4,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "gw_data.columns"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "7630ae2e-ec9b-465f-b44b-969b056fde91",
+ "metadata": {},
+ "source": [
+ "Number of rows, columns:"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 5,
+ "id": "611fa356-569e-4f12-8ed1-742cc1206c32",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "(1733, 13)"
+ ]
+ },
+ "execution_count": 5,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "gw_data.shape"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "38d89ee6-b396-4f93-964e-0d6c06189ee8",
+ "metadata": {},
+ "source": [
+ "The data looks like this (minus a couple of columns):"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 6,
+ "id": "5998dbb5-fc9d-4c02-8848-9fe8d1fae781",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ "
\n",
+ " \n",
+ " \n",
+ " date | \n",
+ " name | \n",
+ " gender | \n",
+ " age | \n",
+ " person_characteristics | \n",
+ " industry_driver | \n",
+ " perpetrator_type | \n",
+ " continent | \n",
+ " country | \n",
+ " local_region | \n",
+ " number_of_victims | \n",
+ "
\n",
+ " \n",
+ " \n",
+ " \n",
+ " 2016-02-18 | \n",
+ " Aníbal Coronado Madera | \n",
+ " Male | \n",
+ " 49.000000 | \n",
+ " Other | \n",
+ " Sector could not be confirmed* | \n",
+ " Private military actors | \n",
+ " Americas | \n",
+ " Colombia | \n",
+ " Córdoba | \n",
+ " 1 | \n",
+ "
\n",
+ " \n",
+ " 2016-10-16 | \n",
+ " Yimer Chávez Rivera | \n",
+ " Male | \n",
+ " 31.000000 | \n",
+ " Small-scale farmer | \n",
+ " Sector could not be confirmed* | \n",
+ " Private military actors | \n",
+ " Americas | \n",
+ " Colombia | \n",
+ " Cauca | \n",
+ " 1 | \n",
+ "
\n",
+ " \n",
+ " 2015-02-10 | \n",
+ " Héctor William Cabrera Suárez | \n",
+ " Male | \n",
+ " 58.000000 | \n",
+ " Other | \n",
+ " Sector could not be confirmed* | \n",
+ " Unspecified | \n",
+ " Americas | \n",
+ " Colombia | \n",
+ " Caquetá | \n",
+ " 1 | \n",
+ "
\n",
+ " \n",
+ " 2016-04-27 | \n",
+ " Rolan Lonin Casiano | \n",
+ " Male | \n",
+ " 32.000000 | \n",
+ " Small-scale farmer | \n",
+ " Sector could not be confirmed* | \n",
+ " Armed forces | \n",
+ " Asia | \n",
+ " Philippines | \n",
+ " Bicol | \n",
+ " 1 | \n",
+ "
\n",
+ " \n",
+ " 2015-05-22 | \n",
+ " Benilda Santos | \n",
+ " Female | \n",
+ " 43.000000 | \n",
+ " nan | \n",
+ " Sector could not be confirmed* | \n",
+ " Unspecified | \n",
+ " Asia | \n",
+ " Philippines | \n",
+ " Quezon City | \n",
+ " 1 | \n",
+ "
\n",
+ " \n",
+ " 2016-08-29 | \n",
+ " Diego Alfredo Chirán Nastacuas | \n",
+ " Male | \n",
+ " 24.000000 | \n",
+ " Indigenous peoples | \n",
+ " Sector could not be confirmed* | \n",
+ " Unspecified | \n",
+ " Americas | \n",
+ " Colombia | \n",
+ " Nariño | \n",
+ " 1 | \n",
+ "
\n",
+ " \n",
+ " 2014-04-21 | \n",
+ " Luis Javier Campo Méndez | \n",
+ " Male | \n",
+ " 22.000000 | \n",
+ " Indigenous peoples | \n",
+ " Sector could not be confirmed* | \n",
+ " Unspecified | \n",
+ " Americas | \n",
+ " Colombia | \n",
+ " nan | \n",
+ " 1 | \n",
+ "
\n",
+ " \n",
+ " 2016-12-30 | \n",
+ " Yaneth Alejandra Calvache Viveros | \n",
+ " Female | \n",
+ " nan | \n",
+ " Small-scale farmer | \n",
+ " Sector could not be confirmed* | \n",
+ " Hitmen | \n",
+ " Americas | \n",
+ " Colombia | \n",
+ " Cauca | \n",
+ " 1 | \n",
+ "
\n",
+ " \n",
+ " 2017-10-24 | \n",
+ " Aulio Isarama Forastero | \n",
+ " Male | \n",
+ " nan | \n",
+ " Indigenous peoples | \n",
+ " Sector could not be confirmed* | \n",
+ " Private military actors | \n",
+ " Americas | \n",
+ " Colombia | \n",
+ " Chocó | \n",
+ " 1 | \n",
+ "
\n",
+ " \n",
+ " 2016-05-20 | \n",
+ " Manuel Chimá Pérez | \n",
+ " Male | \n",
+ " 21.000000 | \n",
+ " Indigenous peoples | \n",
+ " Sector could not be confirmed* | \n",
+ " Private military actors | \n",
+ " Americas | \n",
+ " Colombia | \n",
+ " Antioquia | \n",
+ " 1 | \n",
+ "
\n",
+ " \n",
+ "
\n"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "execution_count": 6,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "gw_data.head(10).style\\\n",
+ " .hide(axis=\"columns\", subset=[\"id\", \"country_numeric\"])\\\n",
+ " .hide(axis=\"index\")\\\n",
+ " .set_properties(**{'background-color': 'RGBA(232, 232, 250, .5)',\n",
+ " 'border': '1.5px solid white',\n",
+ " 'color': '#495057'})\\\n",
+ " .set_table_styles(\n",
+ " [{'selector': 'tr:hover',\n",
+ " 'props': [('background-color', '#fffacd')]},\n",
+ " {'selector': 'th',\n",
+ " 'props': [('background-color', 'RGBA(180, 142, 173, .5)')]}]\n",
+ " )"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 9,
+ "id": "244e8329-00ce-4cac-802c-9f4324e34fb9",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "#gw_data.number_of_victims.unique()\n",
+ "# Making sure each row records one attack/victim"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "8e107fa2-ec57-4297-b0f2-6c83f26502c1",
+ "metadata": {},
+ "source": [
+ "Note: each row records one attack victim"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "c7ace888-9964-4c2c-9169-ff47e4ac36af",
+ "metadata": {},
+ "source": [
+ "## About the victims"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 10,
+ "id": "2b583313-b8ee-4635-b498-806c6456ddca",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "gender\n",
+ "Male 1545\n",
+ "Female 183\n",
+ "Unknown 1\n",
+ "Name: count, dtype: int64"
+ ]
+ },
+ "execution_count": 10,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "gw_data[\"gender\"].value_counts()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 11,
+ "id": "7e878d5c-67d3-44bb-b369-629241ec1e22",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "gender_data = {\n",
+ " \"gender\": [ \"Male\", \"Female\", \"unknown\"],\n",
+ " \"count\": [1545, 183, 1]\n",
+ "}\n",
+ "gender_df = pd.DataFrame(gender_data)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 12,
+ "id": "4e6d64d6-3473-4a3f-af65-b85eb06ce085",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "treemap_gender = px.treemap(gender_df,\n",
+ " path=['gender'], values='count', color='gender', hover_name='count',\n",
+ " color_discrete_sequence=[\"#81a1c1\", \"#a3be8c\", \"#b48ead\", \"#b48ead\"])"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 13,
+ "id": "fe8fd4cb-d834-4171-9cf7-d18109c4dca9",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "scatter_df = gw_data[[\"age\", \"gender\", \"person_characteristics\", \"number_of_victims\", \"industry_driver\", \"continent\"]]\n",
+ "#scatter_df.head()\n",
+ "\n",
+ "# Age data error: 4145\n",
+ "#scatter_df[scatter_df.age > 90]\n",
+ "\n",
+ "# I assume it's a typo and should be 41\n",
+ "fixed_df = scatter_df.replace(to_replace=4145.0, value=41)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 14,
+ "id": "77dbb363-0587-42bf-bb53-cb7b22a78c97",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "hist_age_gender = px.histogram(fixed_df, x=\"age\", nbins=20,\n",
+ " color_discrete_sequence=[\"#81a1c1\", \"#a3be8c\", \"#b48ead\"], color=\"gender\")"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 15,
+ "id": "5d18ba21-ebef-4d42-936e-243fdfebb14b",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "bar_characteristic = px.bar(fixed_df, x='person_characteristics', y='number_of_victims',\n",
+ " color=\"gender\", color_discrete_sequence=[\"#0354A4\", \"#0A9623\", \"#f08c00\"], \n",
+ " hover_data=\"age\", hover_name=\"person_characteristics\")"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 16,
+ "id": "75e851ac-ebd5-4065-88df-cc928a17a915",
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+ "data": {
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+ "output_type": "display_data"
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+ "config": {
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+ "source": [
+ "treemap_gender.update_traces(textinfo=\"label+percent root\")\n",
+ "hist_age_gender.update_traces(legendgroup=\"1\")\n",
+ "bar_characteristic.update_traces(showlegend=False)\n",
+ "\n",
+ "fig1_traces, fig2_traces, fig3_traces = [], [], []\n",
+ "\n",
+ "for trace in range(len(treemap_gender[\"data\"])):\n",
+ " fig1_traces.append(treemap_gender[\"data\"][trace])\n",
+ "for trace in range(len(hist_age_gender[\"data\"])):\n",
+ " fig2_traces.append(hist_age_gender[\"data\"][trace])\n",
+ "for trace in range(len(bar_characteristic[\"data\"])):\n",
+ " fig3_traces.append(bar_characteristic[\"data\"][trace])\n",
+ " \n",
+ "fig_gender = make_subplots(specs=[[{\"type\": \"domain\"}, None], [{\"type\": \"xy\"}, {\"type\": \"xy\"}]], \n",
+ " cols=2, rows=2, column_widths=[0.5, 0.5], row_heights=[0.35, 0.65],\n",
+ " subplot_titles=('Attacks victims are men in majority', 'Victims are mostly adults between 20-60', 'Indigenous peoples overrepresented among victims'))\n",
+ "\n",
+ "for traces in fig1_traces:\n",
+ " fig_gender.add_trace(traces, row=1, col=1)\n",
+ "for traces in fig2_traces:\n",
+ " fig_gender.add_trace(traces, row=2, col=1)\n",
+ "for traces in fig3_traces:\n",
+ " fig_gender.add_trace(traces, row=2, col=2)\n",
+ "\n",
+ "fig_gender.update_layout(\n",
+ " template=\"plotly_white\",\n",
+ " title=\"Victims distributed by gender, age and personal characteristic (data source: www.globalwitness.org)\",\n",
+ " xaxis= {\"title\": 'Age'}, yaxis= {\"title\": 'Number of victims'},\n",
+ " showlegend=True, \n",
+ " legend={\"title\": \"Gender\", \"yanchor\":\"bottom\", \"y\":0.3, \"xanchor\":\"right\", \"x\":0.45}, \n",
+ " legend_tracegroupgap = 50,\n",
+ " barmode='relative',\n",
+ " margin=dict(r=5, t=80, b=5, l=5))\n",
+ "\n",
+ "fig_gender.update_layout(\n",
+ " autosize=False,\n",
+ " width=1200,\n",
+ " height=700)\n",
+ " \n",
+ "fig_gender.show()"
+ ]
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+ {
+ "cell_type": "markdown",
+ "id": "018167a4-b2b2-4f38-a31e-934399cdde55",
+ "metadata": {},
+ "source": [
+ "### What about the children?"
+ ]
+ },
+ {
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+ "execution_count": 17,
+ "id": "f4c09d53-0d52-44d3-9584-6e43c189f3b3",
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+ "outputs": [],
+ "source": [
+ "bar_child_characteristic = px.bar(fixed_df[fixed_df['age'] < 18], x='person_characteristics', y='number_of_victims',\n",
+ " color=\"industry_driver\", color_discrete_sequence=[\"#6A3E75\", \"#40c057\", \"#f08c00\", \"#3bc9db\", \"#ff6b6b\", \"#9775fa\"], \n",
+ " hover_data=\"age\", hover_name=\"person_characteristics\", barmode=\"relative\")\n",
+ "\n",
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+ " color=\"continent\", color_discrete_sequence=[\"#b48ead\", \"#a3be8c\"],\n",
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+ "title": {
+ "text": "Most children victims are indigenous of (the) America(s) close to mining activities (data source: www.globalwitness.org)"
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+ "width": 1200,
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+ "source": [
+ "hist_age_gender.update_traces(legendgroup=\"1\")\n",
+ "hist_age_gender.update_traces(legendgroup=\"2\")\n",
+ "\n",
+ "fig4_traces, fig5_traces = [], []\n",
+ "\n",
+ "for trace in range(len(bar_child_characteristic[\"data\"])):\n",
+ " fig4_traces.append(bar_child_characteristic[\"data\"][trace])\n",
+ "for trace in range(len(bar_child_characteristic2[\"data\"])):\n",
+ " fig5_traces.append(bar_child_characteristic2[\"data\"][trace])\n",
+ " \n",
+ "fig_child = make_subplots(specs=[[{\"type\": \"xy\"}, {\"type\": \"xy\"}]], cols=2, rows=1)\n",
+ "\n",
+ "for traces in fig4_traces:\n",
+ " fig_child.add_trace(traces, row=1, col=1)\n",
+ "for traces in fig5_traces:\n",
+ " fig_child.add_trace(traces, row=1, col=2)\n",
+ "\n",
+ "fig_child.update_layout(\n",
+ " template=\"plotly_white\",\n",
+ " title=\"Most children victims are indigenous of (the) America(s) close to mining activities (data source: www.globalwitness.org)\",\n",
+ " yaxis= {\"title\": 'Number of victims'},\n",
+ " showlegend=True, \n",
+ " legend={\"title\": \"Legend\", \"yanchor\":\"top\", \"y\":1.2, \"xanchor\":\"right\", \"x\":1.3}, \n",
+ " legend_tracegroupgap = 4,\n",
+ " barmode='relative',\n",
+ " margin=dict(r=5, t=80, b=5, l=5)\n",
+ ")\n",
+ "\n",
+ "fig_child.update_layout(\n",
+ " autosize=False,\n",
+ " width=1200,\n",
+ " height=400)\n",
+ " \n",
+ "fig_child.show()"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "0742313b-eb9a-4d12-8a62-c00e326a75ef",
+ "metadata": {},
+ "source": [
+ "### What about the elderly?"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 19,
+ "id": "a098ca2e-9d74-46b3-b1dd-5c94bdc51ad9",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "bar_elder_characteristic = px.bar(fixed_df[fixed_df['age'] > 60], x='person_characteristics', y='number_of_victims',\n",
+ " color=\"industry_driver\", hover_data=\"age\", hover_name=\"person_characteristics\", barmode=\"relative\",\n",
+ " color_discrete_sequence=[\"#6A3E75\", \"#40c057\", \"#f08c00\", \"#3bc9db\", \"#ff6b6b\", \"#9775fa\", \"#f06595\", \"#ffd43b\"])\n",
+ "\n",
+ "bar_elder_characteristic2 = px.bar(fixed_df[fixed_df['age'] > 60], x='person_characteristics', y='number_of_victims',\n",
+ " color=\"continent\", color_discrete_sequence=[\"#a3be8c\", \"#b48ead\", \"#81a1c1\", \"#d08770\"], \n",
+ " hover_data=\"age\", hover_name=\"person_characteristics\", barmode=\"relative\")"
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+ "source": [
+ "fig6_traces, fig7_traces = [], []\n",
+ "\n",
+ "for trace in range(len(bar_elder_characteristic[\"data\"])):\n",
+ " fig6_traces.append(bar_elder_characteristic[\"data\"][trace])\n",
+ "for trace in range(len(bar_elder_characteristic2[\"data\"])):\n",
+ " fig7_traces.append(bar_elder_characteristic2[\"data\"][trace])\n",
+ " \n",
+ "fig_elder = make_subplots(specs=[[{\"type\": \"xy\"}, {\"type\": \"xy\"}]], \n",
+ " cols=2, rows=1)\n",
+ "\n",
+ "for traces in fig6_traces:\n",
+ " fig_elder.add_trace(traces, row=1, col=1)\n",
+ "for traces in fig7_traces:\n",
+ " fig_elder.add_trace(traces, row=1, col=2)\n",
+ "\n",
+ "fig_elder.update_layout(\n",
+ " template=\"plotly_white\",\n",
+ " title=\"Most elderly victims are indigenous people and/or small-scale farmers of (the) America(s) close to mining activities (data source: www.globalwitness.org)\",\n",
+ " yaxis= {\"title\": 'Number of victims'},\n",
+ " showlegend=True, \n",
+ " legend={\"title\": \"Legend\", \"yanchor\":\"top\", \"y\":1.0, \"xanchor\":\"right\", \"x\":1.3}, \n",
+ " legend_tracegroupgap = 4,\n",
+ " barmode='relative',\n",
+ " margin=dict(r=5, t=80, b=5, l=5),)\n",
+ "\n",
+ "fig_elder.update_layout(\n",
+ " autosize=False,\n",
+ " width=1200,\n",
+ " height=500)\n",
+ " \n",
+ "fig_elder.show()"
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+ },
+ {
+ "cell_type": "markdown",
+ "id": "2049436a-324b-4cec-b6c2-bac90e40743d",
+ "metadata": {},
+ "source": [
+ "## Where in the world?"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 21,
+ "id": "a6a51b74-abbb-4050-9cca-f3e2eec9dc27",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "There were 1733 attacks across Americas, Asia, Africa, Oceania, Europe between 2012 and 2021, according to the NGO Global Witness.\n"
+ ]
+ }
+ ],
+ "source": [
+ "num_attacks = gw_data.shape[0]\n",
+ "continents_attacks = \", \".join(gw_data[\"continent\"].unique())\n",
+ "\n",
+ "print(f'There were {num_attacks} attacks across {continents_attacks} between 2012 and 2021, according to the NGO Global Witness.')"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 22,
+ "id": "fac86553-ca10-4de1-b4bd-a6fcf126d845",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Attacks occured in 61 countries.\n",
+ "The highest number of attacks happened in Brazil (342 attacks), Colombia (322 attacks) and the Philippines (270 attacks).\n"
+ ]
+ }
+ ],
+ "source": [
+ "countries_attacks = gw_data[\"country\"].unique()\n",
+ "most_attacks = gw_data[\"country\"].value_counts()[:3]\n",
+ "\n",
+ "print(f'Attacks occured in {len(countries_attacks)} countries.' )\n",
+ "print(f'The highest number of attacks happened in {most_attacks.index[0]} ({most_attacks[0]} attacks), {most_attacks.index[1]} ({most_attacks[1]} attacks) \\\n",
+ "and the {most_attacks.index[2]} ({most_attacks[2]} attacks).')"
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+ ]
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+ "map_victims = px.choropleth(\n",
+ " victims_by_country, locations=\"country\", \n",
+ " locationmode=\"country names\",\n",
+ " color='number_of_victims', \n",
+ " color_continuous_scale=\"sunsetdark\",\n",
+ " title=\"Lethal attacks of land defenders worlwide between 2012 and 2021 (data source: www.globalwitness.org)\",\n",
+ " projection=\"natural earth\",\n",
+ " width=1200, height=500\n",
+ " )\n",
+ "map_victims.update_layout(margin={\"r\":5,\"t\":80,\"l\":0,\"b\":5})\n",
+ "map_victims.show()"
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+ "source": [
+ "Attacks have happened on all continents, but areas with tropical rainforests seem to suffer more attacks (especially in Latin America)."
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+ {
+ "cell_type": "markdown",
+ "id": "281ac9c1-1744-44e9-9b2d-a31101a189db",
+ "metadata": {},
+ "source": [
+ "## About the causes & perpetrators"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 77,
+ "id": "bc021d3f-37fd-4d4c-9182-896fbe8c250e",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "#gw_data[[\"perpetrator_type\", \"continent\", \"number_of_victims\"]].value_counts()"
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+ "execution_count": 31,
+ "id": "d2724abc-4045-4480-a5ae-f4d54c51ea02",
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+ "df_victims_industries = pd.read_csv(\"victims_by_industry.csv\")\n",
+ "\n",
+ "df_victims_perp = pd.read_csv(\"victims_by_perpetrator.csv\")"
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+ "treemap_industries = px.treemap(df_victims_industries, \n",
+ " path=['industry_driver'], values='count', color='industry_driver',\n",
+ " color_discrete_sequence=[\"#c47f5d\", \"#817568\", \"#80958e\", \"#b4874f\", \"#7c9a52\"],\n",
+ " width=800, height=600)\n",
+ "\n",
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+ "text": "Indentified perpetrators are mostly hitmen in America(s), armed forces in Asia, private military actors in Africa (data source: www.globalwitness.org)"
+ },
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+ "fig8_traces, fig9_traces = [], []\n",
+ "\n",
+ "for trace in range(len(treemap_industries[\"data\"])):\n",
+ " fig8_traces.append(treemap_industries[\"data\"][trace])\n",
+ "for trace in range(len(treemap_perpetrators[\"data\"])):\n",
+ " fig9_traces.append(treemap_perpetrators[\"data\"][trace])\n",
+ " \n",
+ "fig_causes = make_subplots(specs=[[{\"type\": \"domain\"}, {\"type\": \"domain\"}]], \n",
+ " cols=2, rows=1, \n",
+ " column_widths=[0.5, 0.5])\n",
+ "\n",
+ "for traces in fig8_traces:\n",
+ " fig_causes.add_trace(traces, row=1, col=1)\n",
+ "for traces in fig9_traces:\n",
+ " fig_causes.add_trace(traces, row=1, col=2)\n",
+ "\n",
+ "fig_causes.update_layout(\n",
+ " template=\"plotly_white\",\n",
+ " title=\"Indentified perpetrators are mostly hitmen in America(s), armed forces in Asia, private military actors in Africa (data source: www.globalwitness.org)\",\n",
+ " xaxis= {\"title\": ''},\n",
+ " showlegend=True, \n",
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+ " autosize=False,\n",
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+ " \n",
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+ ]
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+ {
+ "cell_type": "markdown",
+ "id": "d6a711cc-ae50-49cc-8dda-fe1efc47ed99",
+ "metadata": {},
+ "source": [
+ "## Attacks over time"
+ ]
+ },
+ {
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+ "df_victims_year_continents = pd.read_csv(\"victims_by_year_continent.csv\")\n",
+ "\n",
+ "yearly_continent = px.area(df_victims_year_continents, template=\"plotly_white\",\n",
+ " x='year', y='count', color=\"continent\",\n",
+ " color_discrete_sequence=[\"#b48ead\", \"#a3be8c\", \"#ebcb8b\", \"#81a1c1\", \"#d08770\"],\n",
+ " title=\"Between 2012 and 2021 attacks increased, with Americas suffering the most attacks.\",\n",
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+ "\n",
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+ "The lethal attacks against land defenders are either getting more frequent or better documented (or both).\n",
+ "2013-2014 shows the start of an increase for attacks in Asia and 2014-2015 shows the start of an increase for attacks in Africa."
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+ "source": [
+ "__At a time where the consequences of the climate emergency get even more visible, \n",
+ "some corporations double down on resources extraction (fossil-fuel, minerals),__\n",
+ "\n",
+ "__deforestation for large scale agriculture...\n",
+ "The land defenders (mostly indigenous people in Brazil, Colombia and The Philippines) are at increased risk for their lives.__"
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