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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## <u>Projet Stat</u>"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Les données sont en format CSV, elles sont séparées par des virgules."
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"import pandas as pd\n",
"import matplotlib.pyplot as plt\n",
"import numpy as np\n",
"\n",
"df = pd.read_csv(\"Report_2022.csv\", encoding=\"latin-1\")\n",
"df = df.drop_duplicates()\n",
"df = df.dropna()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"La base de donnée possède 179 lignes pour 16 colonnes.\n",
"\n",
"La problématique que l'on peut dégage avec ces données est la suivante : Où en est la presse dans le monde et pourquoi ?\n",
"\n",
"Les colonnes importantes pour notre étude statistique sont : Position 2022, Position 2021, Global Score, Economic Score, Politic Score, Security Score, Journalist Killed, Journalist Imprisoned.\n",
"\n",
"Toutes les données qui vont être traitées par la suite concernent l'année 2022."
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Moyenne score économique mondial : 44.98178770949721\n",
"Moyenne score politique mondial : 56.97324022346369\n",
"Moyenne score de sécurité mondial : 60.24240223463687\n",
"\n",
"\n",
"Moyenne des journalistes tués par pays en 2022 : 0.1787709497206704\n",
"Moyenne des journalistes emprisonnés par pays en 2022 : 0.8603351955307262\n",
"Pays où au moins un journaliste est mort en 2022 : \n",
"\n"
]
},
{
"data": {
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"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Country</th>\n",
" <th>ISO Code</th>\n",
" <th>Region</th>\n",
" <th>Position 2022</th>\n",
" <th>Position 2021</th>\n",
" <th>Global Score</th>\n",
" <th>Politic Score</th>\n",
" <th>Economic Score</th>\n",
" <th>Legislative Score</th>\n",
" <th>Social Score</th>\n",
" <th>Security Score</th>\n",
" <th>Journalist Killed</th>\n",
" <th>Media Workers Killed</th>\n",
" <th>Journalist Imprisoned</th>\n",
" <th>Media Workers Imprisoned</th>\n",
" <th>Situation</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>11</th>\n",
" <td>Bangladesh</td>\n",
" <td>BGD</td>\n",
" <td>Asia Pacific</td>\n",
" <td>162</td>\n",
" <td>152</td>\n",
" <td>36.63</td>\n",
" <td>42.12</td>\n",
" <td>32.48</td>\n",
" <td>44.15</td>\n",
" <td>48.50</td>\n",
" <td>15.88</td>\n",
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" </tr>\n",
" <tr>\n",
" <th>20</th>\n",
" <td>Brazil</td>\n",
" <td>BRA</td>\n",
" <td>South America</td>\n",
" <td>110</td>\n",
" <td>111</td>\n",
" <td>55.36</td>\n",
" <td>51.62</td>\n",
" <td>37.59</td>\n",
" <td>69.74</td>\n",
" <td>70.00</td>\n",
" <td>47.86</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>Problematic</td>\n",
" </tr>\n",
" <tr>\n",
" <th>30</th>\n",
" <td>Chad</td>\n",
" <td>TCD</td>\n",
" <td>Africa</td>\n",
" <td>104</td>\n",
" <td>123</td>\n",
" <td>56.18</td>\n",
" <td>55.88</td>\n",
" <td>43.27</td>\n",
" <td>60.35</td>\n",
" <td>63.20</td>\n",
" <td>58.21</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>Problematic</td>\n",
" </tr>\n",
" <tr>\n",
" <th>31</th>\n",
" <td>Chile</td>\n",
" <td>CHL</td>\n",
" <td>South America</td>\n",
" <td>82</td>\n",
" <td>54</td>\n",
" <td>60.61</td>\n",
" <td>65.03</td>\n",
" <td>42.86</td>\n",
" <td>67.63</td>\n",
" <td>72.40</td>\n",
" <td>55.15</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>Problematic</td>\n",
" </tr>\n",
" <tr>\n",
" <th>66</th>\n",
" <td>Haiti</td>\n",
" <td>HTI</td>\n",
" <td>South America</td>\n",
" <td>70</td>\n",
" <td>87</td>\n",
" <td>64.55</td>\n",
" <td>59.60</td>\n",
" <td>50.34</td>\n",
" <td>72.22</td>\n",
" <td>80.67</td>\n",
" <td>59.91</td>\n",
" <td>2</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>Problematic</td>\n",
" </tr>\n",
" <tr>\n",
" <th>71</th>\n",
" <td>India</td>\n",
" <td>IND</td>\n",
" <td>Asia Pacific</td>\n",
" <td>150</td>\n",
" <td>142</td>\n",
" <td>41.00</td>\n",
" <td>40.76</td>\n",
" <td>30.36</td>\n",
" <td>57.02</td>\n",
" <td>56.25</td>\n",
" <td>20.61</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>11</td>\n",
" <td>0</td>\n",
" <td>Difficult</td>\n",
" </tr>\n",
" <tr>\n",
" <th>73</th>\n",
" <td>Iran</td>\n",
" <td>IRN</td>\n",
" <td>Middle East</td>\n",
" <td>178</td>\n",
" <td>174</td>\n",
" <td>23.22</td>\n",
" <td>30.71</td>\n",
" <td>21.32</td>\n",
" <td>26.71</td>\n",
" <td>23.78</td>\n",
" <td>13.61</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>3</td>\n",
" <td>0</td>\n",
" <td>Very Serious</td>\n",
" </tr>\n",
" <tr>\n",
" <th>104</th>\n",
" <td>Mexico</td>\n",
" <td>MEX</td>\n",
" <td>South America</td>\n",
" <td>127</td>\n",
" <td>143</td>\n",
" <td>47.57</td>\n",
" <td>58.18</td>\n",
" <td>43.37</td>\n",
" <td>65.79</td>\n",
" <td>59.50</td>\n",
" <td>11.02</td>\n",
" <td>9</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>Difficult</td>\n",
" </tr>\n",
" <tr>\n",
" <th>110</th>\n",
" <td>Myanmar</td>\n",
" <td>MMR</td>\n",
" <td>Asia Pacific</td>\n",
" <td>176</td>\n",
" <td>140</td>\n",
" <td>25.03</td>\n",
" <td>40.40</td>\n",
" <td>29.25</td>\n",
" <td>20.18</td>\n",
" <td>30.67</td>\n",
" <td>4.63</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>22</td>\n",
" <td>1</td>\n",
" <td>Very Serious</td>\n",
" </tr>\n",
" <tr>\n",
" <th>124</th>\n",
" <td>Pakistan</td>\n",
" <td>PAK</td>\n",
" <td>Asia Pacific</td>\n",
" <td>157</td>\n",
" <td>145</td>\n",
" <td>37.99</td>\n",
" <td>39.57</td>\n",
" <td>31.92</td>\n",
" <td>53.26</td>\n",
" <td>47.43</td>\n",
" <td>17.75</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>Very Serious</td>\n",
" </tr>\n",
" <tr>\n",
" <th>125</th>\n",
" <td>Palestine</td>\n",
" <td>PSE</td>\n",
" <td>Middle East</td>\n",
" <td>170</td>\n",
" <td>132</td>\n",
" <td>28.98</td>\n",
" <td>35.45</td>\n",
" <td>15.82</td>\n",
" <td>36.40</td>\n",
" <td>36.50</td>\n",
" <td>20.74</td>\n",
" <td>2</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>Very Serious</td>\n",
" </tr>\n",
" <tr>\n",
" <th>156</th>\n",
" <td>Syria</td>\n",
" <td>SYR</td>\n",
" <td>Middle East</td>\n",
" <td>171</td>\n",
" <td>173</td>\n",
" <td>28.94</td>\n",
" <td>33.51</td>\n",
" <td>27.62</td>\n",
" <td>33.58</td>\n",
" <td>36.57</td>\n",
" <td>13.39</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>3</td>\n",
" <td>0</td>\n",
" <td>Very Serious</td>\n",
" </tr>\n",
" <tr>\n",
" <th>169</th>\n",
" <td>Ukraine</td>\n",
" <td>UKR</td>\n",
" <td>Europe</td>\n",
" <td>106</td>\n",
" <td>97</td>\n",
" <td>55.76</td>\n",
" <td>61.21</td>\n",
" <td>42.86</td>\n",
" <td>79.45</td>\n",
" <td>76.43</td>\n",
" <td>18.84</td>\n",
" <td>7</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>Problematic</td>\n",
" </tr>\n",
" <tr>\n",
" <th>177</th>\n",
" <td>Yemen</td>\n",
" <td>YEM</td>\n",
" <td>Middle East</td>\n",
" <td>169</td>\n",
" <td>169</td>\n",
" <td>29.14</td>\n",
" <td>33.03</td>\n",
" <td>27.55</td>\n",
" <td>38.60</td>\n",
" <td>35.00</td>\n",
" <td>11.54</td>\n",
" <td>3</td>\n",
" <td>0</td>\n",
" <td>4</td>\n",
" <td>0</td>\n",
" <td>Very Serious</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Country ISO Code Region Position 2022 Position 2021 \\\n",
"11 Bangladesh BGD Asia Pacific 162 152 \n",
"20 Brazil BRA South America 110 111 \n",
"30 Chad TCD Africa 104 123 \n",
"31 Chile CHL South America 82 54 \n",
"66 Haiti HTI South America 70 87 \n",
"71 India IND Asia Pacific 150 142 \n",
"73 Iran IRN Middle East 178 174 \n",
"104 Mexico MEX South America 127 143 \n",
"110 Myanmar MMR Asia Pacific 176 140 \n",
"124 Pakistan PAK Asia Pacific 157 145 \n",
"125 Palestine PSE Middle East 170 132 \n",
"156 Syria SYR Middle East 171 173 \n",
"169 Ukraine UKR Europe 106 97 \n",
"177 Yemen YEM Middle East 169 169 \n",
"\n",
" Global Score Politic Score Economic Score Legislative Score \\\n",
"11 36.63 42.12 32.48 44.15 \n",
"20 55.36 51.62 37.59 69.74 \n",
"30 56.18 55.88 43.27 60.35 \n",
"31 60.61 65.03 42.86 67.63 \n",
"66 64.55 59.60 50.34 72.22 \n",
"71 41.00 40.76 30.36 57.02 \n",
"73 23.22 30.71 21.32 26.71 \n",
"104 47.57 58.18 43.37 65.79 \n",
"110 25.03 40.40 29.25 20.18 \n",
"124 37.99 39.57 31.92 53.26 \n",
"125 28.98 35.45 15.82 36.40 \n",
"156 28.94 33.51 27.62 33.58 \n",
"169 55.76 61.21 42.86 79.45 \n",
"177 29.14 33.03 27.55 38.60 \n",
"\n",
" Social Score Security Score Journalist Killed Media Workers Killed \\\n",
"11 48.50 15.88 1 0 \n",
"20 70.00 47.86 1 0 \n",
"30 63.20 58.21 1 0 \n",
"31 72.40 55.15 1 0 \n",
"66 80.67 59.91 2 0 \n",
"71 56.25 20.61 1 0 \n",
"73 23.78 13.61 1 0 \n",
"104 59.50 11.02 9 0 \n",
"110 30.67 4.63 1 0 \n",
"124 47.43 17.75 1 0 \n",
"125 36.50 20.74 2 0 \n",
"156 36.57 13.39 1 0 \n",
"169 76.43 18.84 7 1 \n",
"177 35.00 11.54 3 0 \n",
"\n",
" Journalist Imprisoned Media Workers Imprisoned Situation \n",
"11 0 0 Very Serious \n",
"20 0 0 Problematic \n",
"30 0 0 Problematic \n",
"31 0 0 Problematic \n",
"66 0 0 Problematic \n",
"71 11 0 Difficult \n",
"73 3 0 Very Serious \n",
"104 0 0 Difficult \n",
"110 22 1 Very Serious \n",
"124 0 0 Very Serious \n",
"125 0 0 Very Serious \n",
"156 3 0 Very Serious \n",
"169 0 0 Problematic \n",
"177 4 0 Very Serious "
]
},
"execution_count": 16,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"p2022 = df[\"Position 2022\"]\n",
"p2021 = df[\"Position 2021\"]\n",
"gscore = df[\"Global Score\"]\n",
"pscore = df[\"Politic Score\"]\n",
"escore = df[\"Economic Score\"]\n",
"sescore = df[\"Security Score\"]\n",
"jkilled = df[\"Journalist Killed\"]\n",
"jimpriso = df[\"Journalist Imprisoned\"]\n",
"\n",
"print(\"Moyenne score économique mondial :\", escore.mean())\n",
"print(\"Moyenne score politique mondial :\", pscore.mean())\n",
"print(\"Moyenne score de sécurité mondial :\", sescore.mean())\n",
"print(\"\\n\")\n",
"\n",
"print(\"Moyenne des journalistes tués par pays en 2022 :\", jkilled.mean())\n",
"print(\"Moyenne des journalistes emprisonnés par pays en 2022 :\", jimpriso.mean())\n",
"\n",
"\n",
"dfJk = df.loc[jkilled > 0]\n",
"dfJi = df.loc[jimpriso > 0]\n",
"\n",
"print(\"Pays où au moins un journaliste est mort en 2022 : \\n\")\n",
"dfJk"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
" Pays où au moins un journaliste a été emprisonné en 2022 : \n",
"\n"
]
},
{
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" <th></th>\n",
" <th>Country</th>\n",
" <th>ISO Code</th>\n",
" <th>Region</th>\n",
" <th>Position 2022</th>\n",
" <th>Position 2021</th>\n",
" <th>Global Score</th>\n",
" <th>Politic Score</th>\n",
" <th>Economic Score</th>\n",
" <th>Legislative Score</th>\n",
" <th>Social Score</th>\n",
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" <tbody>\n",
" <tr>\n",
" <th>9</th>\n",
" <td>Azerbaijan</td>\n",
" <td>AZE</td>\n",
" <td>Asia Pacific</td>\n",
" <td>154</td>\n",
" <td>167</td>\n",
" <td>39.40</td>\n",
" <td>37.66</td>\n",
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" <tr>\n",
" <th>12</th>\n",
" <td>Belarus</td>\n",
" <td>BLR</td>\n",
" <td>Europe</td>\n",
" <td>153</td>\n",
" <td>158</td>\n",
" <td>39.62</td>\n",
" <td>32.93</td>\n",
" <td>48.75</td>\n",
" <td>37.23</td>\n",
" <td>60.33</td>\n",
" <td>18.85</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>13</td>\n",
" <td>0</td>\n",
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" <tr>\n",
" <th>26</th>\n",
" <td>Cambodia</td>\n",
" <td>KHM</td>\n",
" <td>Asia Pacific</td>\n",
" <td>142</td>\n",
" <td>144</td>\n",
" <td>43.48</td>\n",
" <td>42.42</td>\n",
" <td>27.96</td>\n",
" <td>49.65</td>\n",
" <td>62.40</td>\n",
" <td>34.96</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>Difficult</td>\n",
" </tr>\n",
" <tr>\n",
" <th>41</th>\n",
" <td>Democratic Republic of Congo</td>\n",
" <td>COD</td>\n",
" <td>Africa</td>\n",
" <td>125</td>\n",
" <td>149</td>\n",
" <td>47.66</td>\n",
" <td>51.33</td>\n",
" <td>41.43</td>\n",
" <td>60.88</td>\n",
" <td>60.30</td>\n",
" <td>24.34</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>3</td>\n",
" <td>0</td>\n",
" <td>Difficult</td>\n",
" </tr>\n",
" <tr>\n",
" <th>52</th>\n",
" <td>Ethiopia</td>\n",
" <td>ETH</td>\n",
" <td>Africa</td>\n",
" <td>114</td>\n",
" <td>101</td>\n",
" <td>50.53</td>\n",
" <td>50.65</td>\n",
" <td>45.77</td>\n",
" <td>63.66</td>\n",
" <td>57.29</td>\n",
" <td>35.29</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>16</td>\n",
" <td>0</td>\n",
" <td>Difficult</td>\n",
" </tr>\n",
" <tr>\n",
" <th>58</th>\n",
" <td>Georgia</td>\n",
" <td>GEO</td>\n",
" <td>Europe</td>\n",
" <td>89</td>\n",
" <td>60</td>\n",
" <td>59.30</td>\n",
" <td>52.42</td>\n",
" <td>46.43</td>\n",
" <td>80.79</td>\n",
" <td>75.50</td>\n",
" <td>41.34</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>Problematic</td>\n",
" </tr>\n",
" <tr>\n",
" <th>60</th>\n",
" <td>Ghana</td>\n",
" <td>GHA</td>\n",
" <td>Africa</td>\n",
" <td>60</td>\n",
" <td>30</td>\n",
" <td>67.43</td>\n",
" <td>66.61</td>\n",
" <td>47.22</td>\n",
" <td>81.42</td>\n",
" <td>79.64</td>\n",
" <td>62.25</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>2</td>\n",
" <td>0</td>\n",
" <td>Problematic</td>\n",
" </tr>\n",
" <tr>\n",
" <th>71</th>\n",
" <td>India</td>\n",
" <td>IND</td>\n",
" <td>Asia Pacific</td>\n",
" <td>150</td>\n",
" <td>142</td>\n",
" <td>41.00</td>\n",
" <td>40.76</td>\n",
" <td>30.36</td>\n",
" <td>57.02</td>\n",
" <td>56.25</td>\n",
" <td>20.61</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>11</td>\n",
" <td>0</td>\n",
" <td>Difficult</td>\n",
" </tr>\n",
" <tr>\n",
" <th>73</th>\n",
" <td>Iran</td>\n",
" <td>IRN</td>\n",
" <td>Middle East</td>\n",
" <td>178</td>\n",
" <td>174</td>\n",
" <td>23.22</td>\n",
" <td>30.71</td>\n",
" <td>21.32</td>\n",
" <td>26.71</td>\n",
" <td>23.78</td>\n",
" <td>13.61</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>3</td>\n",
" <td>0</td>\n",
" <td>Very Serious</td>\n",
" </tr>\n",
" <tr>\n",
" <th>74</th>\n",
" <td>Iraq</td>\n",
" <td>IRQ</td>\n",
" <td>Middle East</td>\n",
" <td>172</td>\n",
" <td>163</td>\n",
" <td>28.59</td>\n",
" <td>34.14</td>\n",
" <td>20.07</td>\n",
" <td>29.82</td>\n",
" <td>40.67</td>\n",
" <td>18.27</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>2</td>\n",
" <td>0</td>\n",
" <td>Very Serious</td>\n",
" </tr>\n",
" <tr>\n",
" <th>76</th>\n",
" <td>Israel</td>\n",
" <td>ISR</td>\n",
" <td>Middle East</td>\n",
" <td>86</td>\n",
" <td>86</td>\n",
" <td>59.62</td>\n",
" <td>65.15</td>\n",
" <td>55.10</td>\n",
" <td>53.51</td>\n",
" <td>77.75</td>\n",
" <td>46.61</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>2</td>\n",
" <td>0</td>\n",
" <td>Problematic</td>\n",
" </tr>\n",
" <tr>\n",
" <th>82</th>\n",
" <td>Kazakhstan</td>\n",
" <td>KAZ</td>\n",
" <td>Asia Pacific</td>\n",
" <td>122</td>\n",
" <td>155</td>\n",
" <td>48.28</td>\n",
" <td>43.52</td>\n",
" <td>29.80</td>\n",
" <td>51.93</td>\n",
" <td>52.30</td>\n",
" <td>63.85</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>3</td>\n",
" <td>0</td>\n",
" <td>Difficult</td>\n",
" </tr>\n",
" <tr>\n",
" <th>89</th>\n",
" <td>Lebanon</td>\n",
" <td>LBN</td>\n",
" <td>Middle East</td>\n",
" <td>130</td>\n",
" <td>107</td>\n",
" <td>46.58</td>\n",
" <td>50.91</td>\n",
" <td>38.27</td>\n",
" <td>50.22</td>\n",
" <td>60.50</td>\n",
" <td>33.02</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>Difficult</td>\n",
" </tr>\n",
" <tr>\n",
" <th>110</th>\n",
" <td>Myanmar</td>\n",
" <td>MMR</td>\n",
" <td>Asia Pacific</td>\n",
" <td>176</td>\n",
" <td>140</td>\n",
" <td>25.03</td>\n",
" <td>40.40</td>\n",
" <td>29.25</td>\n",
" <td>20.18</td>\n",
" <td>30.67</td>\n",
" <td>4.63</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>22</td>\n",
" <td>1</td>\n",
" <td>Very Serious</td>\n",
" </tr>\n",
" <tr>\n",
" <th>111</th>\n",
" <td>Namibia</td>\n",
" <td>NAM</td>\n",
" <td>Africa</td>\n",
" <td>18</td>\n",
" <td>24</td>\n",
" <td>81.84</td>\n",
" <td>72.97</td>\n",
" <td>69.80</td>\n",
" <td>82.98</td>\n",
" <td>91.60</td>\n",
" <td>91.84</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>2</td>\n",
" <td>0</td>\n",
" <td>Satisfactory</td>\n",
" </tr>\n",
" <tr>\n",
" <th>116</th>\n",
" <td>Niger</td>\n",
" <td>NER</td>\n",
" <td>Africa</td>\n",
" <td>59</td>\n",
" <td>59</td>\n",
" <td>67.80</td>\n",
" <td>62.30</td>\n",
" <td>46.73</td>\n",
" <td>71.75</td>\n",
" <td>76.50</td>\n",
" <td>81.69</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>2</td>\n",
" <td>0</td>\n",
" <td>Problematic</td>\n",
" </tr>\n",
" <tr>\n",
" <th>117</th>\n",
" <td>Nigeria</td>\n",
" <td>NGA</td>\n",
" <td>Africa</td>\n",
" <td>129</td>\n",
" <td>120</td>\n",
" <td>46.79</td>\n",
" <td>45.15</td>\n",
" <td>36.39</td>\n",
" <td>53.80</td>\n",
" <td>69.83</td>\n",
" <td>28.75</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>Difficult</td>\n",
" </tr>\n",
" <tr>\n",
" <th>135</th>\n",
" <td>Russia</td>\n",
" <td>RUS</td>\n",
" <td>Europe</td>\n",
" <td>155</td>\n",
" <td>150</td>\n",
" <td>38.82</td>\n",
" <td>36.36</td>\n",
" <td>34.84</td>\n",
" <td>44.61</td>\n",
" <td>51.29</td>\n",
" <td>27.00</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>6</td>\n",
" <td>0</td>\n",
" <td>Very Serious</td>\n",
" </tr>\n",
" <tr>\n",
" <th>146</th>\n",
" <td>Somalia</td>\n",
" <td>SOM</td>\n",
" <td>Arab States</td>\n",
" <td>140</td>\n",
" <td>161</td>\n",
" <td>44.01</td>\n",
" <td>51.03</td>\n",
" <td>41.22</td>\n",
" <td>47.72</td>\n",
" <td>61.80</td>\n",
" <td>18.27</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>4</td>\n",
" <td>0</td>\n",
" <td>Difficult</td>\n",
" </tr>\n",
" <tr>\n",
" <th>156</th>\n",
" <td>Syria</td>\n",
" <td>SYR</td>\n",
" <td>Middle East</td>\n",
" <td>171</td>\n",
" <td>173</td>\n",
" <td>28.94</td>\n",
" <td>33.51</td>\n",
" <td>27.62</td>\n",
" <td>33.58</td>\n",
" <td>36.57</td>\n",
" <td>13.39</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>3</td>\n",
" <td>0</td>\n",
" <td>Very Serious</td>\n",
" </tr>\n",
" <tr>\n",
" <th>158</th>\n",
" <td>Tajikistan</td>\n",
" <td>TJK</td>\n",
" <td>Asia Pacific</td>\n",
" <td>152</td>\n",
" <td>162</td>\n",
" <td>40.26</td>\n",
" <td>33.79</td>\n",
" <td>29.85</td>\n",
" <td>48.68</td>\n",
" <td>46.00</td>\n",
" <td>42.96</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>5</td>\n",
" <td>0</td>\n",
" <td>Difficult</td>\n",
" </tr>\n",
" <tr>\n",
" <th>159</th>\n",
" <td>Tanzania</td>\n",
" <td>TZA</td>\n",
" <td>Africa</td>\n",
" <td>123</td>\n",
" <td>124</td>\n",
" <td>48.28</td>\n",
" <td>43.88</td>\n",
" <td>32.65</td>\n",
" <td>45.09</td>\n",
" <td>59.20</td>\n",
" <td>60.56</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>5</td>\n",
" <td>0</td>\n",
" <td>Difficult</td>\n",
" </tr>\n",
" <tr>\n",
" <th>160</th>\n",
" <td>Thailand</td>\n",
" <td>THA</td>\n",
" <td>Asia Pacific</td>\n",
" <td>115</td>\n",
" <td>137</td>\n",
" <td>50.15</td>\n",
" <td>58.99</td>\n",
" <td>45.24</td>\n",
" <td>47.37</td>\n",
" <td>53.67</td>\n",
" <td>45.50</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>5</td>\n",
" <td>0</td>\n",
" <td>Difficult</td>\n",
" </tr>\n",
" <tr>\n",
" <th>161</th>\n",
" <td>Timor-Leste</td>\n",
" <td>TLS</td>\n",
" <td>Asia Pacific</td>\n",
" <td>17</td>\n",
" <td>71</td>\n",
" <td>81.89</td>\n",
" <td>85.45</td>\n",
" <td>68.71</td>\n",
" <td>85.96</td>\n",
" <td>75.67</td>\n",
" <td>93.65</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>5</td>\n",
" <td>0</td>\n",
" <td>Satisfactory</td>\n",
" </tr>\n",
" <tr>\n",
" <th>162</th>\n",
" <td>Togo</td>\n",
" <td>TGO</td>\n",
" <td>Africa</td>\n",
" <td>100</td>\n",
" <td>74</td>\n",
" <td>57.17</td>\n",
" <td>57.52</td>\n",
" <td>41.73</td>\n",
" <td>61.93</td>\n",
" <td>69.50</td>\n",
" <td>55.15</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>5</td>\n",
" <td>0</td>\n",
" <td>Problematic</td>\n",
" </tr>\n",
" <tr>\n",
" <th>163</th>\n",
" <td>Tonga</td>\n",
" <td>TON</td>\n",
" <td>Asia Pacific</td>\n",
" <td>49</td>\n",
" <td>46</td>\n",
" <td>69.74</td>\n",
" <td>69.70</td>\n",
" <td>53.06</td>\n",
" <td>66.67</td>\n",
" <td>69.50</td>\n",
" <td>89.80</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>5</td>\n",
" <td>0</td>\n",
" <td>Problematic</td>\n",
" </tr>\n",
" <tr>\n",
" <th>164</th>\n",
" <td>Trinidad and Tobago</td>\n",
" <td>TTO</td>\n",
" <td>South America</td>\n",
" <td>25</td>\n",
" <td>31</td>\n",
" <td>78.68</td>\n",
" <td>73.94</td>\n",
" <td>67.86</td>\n",
" <td>74.56</td>\n",
" <td>84.50</td>\n",
" <td>92.52</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>5</td>\n",
" <td>0</td>\n",
" <td>Satisfactory</td>\n",
" </tr>\n",
" <tr>\n",
" <th>165</th>\n",
" <td>Tunisia</td>\n",
" <td>TUN</td>\n",
" <td>Arab States</td>\n",
" <td>94</td>\n",
" <td>73</td>\n",
" <td>58.49</td>\n",
" <td>61.82</td>\n",
" <td>41.84</td>\n",
" <td>67.19</td>\n",
" <td>70.20</td>\n",
" <td>51.42</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>5</td>\n",
" <td>0</td>\n",
" <td>Problematic</td>\n",
" </tr>\n",
" <tr>\n",
" <th>166</th>\n",
" <td>Turkey</td>\n",
" <td>TUR</td>\n",
" <td>Europe</td>\n",
" <td>149</td>\n",
" <td>153</td>\n",
" <td>41.25</td>\n",
" <td>38.38</td>\n",
" <td>27.55</td>\n",
" <td>52.92</td>\n",
" <td>55.00</td>\n",
" <td>32.37</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>Difficult</td>\n",
" </tr>\n",
" <tr>\n",
" <th>167</th>\n",
" <td>Turkmenistan</td>\n",
" <td>TKM</td>\n",
" <td>Asia Pacific</td>\n",
" <td>177</td>\n",
" <td>178</td>\n",
" <td>25.01</td>\n",
" <td>25.00</td>\n",
" <td>11.73</td>\n",
" <td>29.61</td>\n",
" <td>23.00</td>\n",
" <td>35.69</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>5</td>\n",
" <td>0</td>\n",
" <td>Very Serious</td>\n",
" </tr>\n",
" <tr>\n",
" <th>168</th>\n",
" <td>Uganda</td>\n",
" <td>UGA</td>\n",
" <td>Africa</td>\n",
" <td>132</td>\n",
" <td>125</td>\n",
" <td>46.35</td>\n",
" <td>44.70</td>\n",
" <td>36.99</td>\n",
" <td>60.96</td>\n",
" <td>56.00</td>\n",
" <td>33.09</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>2</td>\n",
" <td>0</td>\n",
" <td>Difficult</td>\n",
" </tr>\n",
" <tr>\n",
" <th>170</th>\n",
" <td>United Arab Emirates</td>\n",
" <td>ARE</td>\n",
" <td>Middle East</td>\n",
" <td>138</td>\n",
" <td>131</td>\n",
" <td>44.46</td>\n",
" <td>45.45</td>\n",
" <td>36.73</td>\n",
" <td>32.02</td>\n",
" <td>50.50</td>\n",
" <td>57.59</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>Difficult</td>\n",
" </tr>\n",
" <tr>\n",
" <th>176</th>\n",
" <td>Vietnam</td>\n",
" <td>VNM</td>\n",
" <td>Asia Pacific</td>\n",
" <td>174</td>\n",
" <td>175</td>\n",
" <td>26.11</td>\n",
" <td>32.32</td>\n",
" <td>18.71</td>\n",
" <td>27.49</td>\n",
" <td>34.67</td>\n",
" <td>17.37</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>Very Serious</td>\n",
" </tr>\n",
" <tr>\n",
" <th>177</th>\n",
" <td>Yemen</td>\n",
" <td>YEM</td>\n",
" <td>Middle East</td>\n",
" <td>169</td>\n",
" <td>169</td>\n",
" <td>29.14</td>\n",
" <td>33.03</td>\n",
" <td>27.55</td>\n",
" <td>38.60</td>\n",
" <td>35.00</td>\n",
" <td>11.54</td>\n",
" <td>3</td>\n",
" <td>0</td>\n",
" <td>4</td>\n",
" <td>0</td>\n",
" <td>Very Serious</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Country ISO Code Region Position 2022 \\\n",
"9 Azerbaijan AZE Asia Pacific 154 \n",
"12 Belarus BLR Europe 153 \n",
"26 Cambodia KHM Asia Pacific 142 \n",
"41 Democratic Republic of Congo COD Africa 125 \n",
"52 Ethiopia ETH Africa 114 \n",
"58 Georgia GEO Europe 89 \n",
"60 Ghana GHA Africa 60 \n",
"71 India IND Asia Pacific 150 \n",
"73 Iran IRN Middle East 178 \n",
"74 Iraq IRQ Middle East 172 \n",
"76 Israel ISR Middle East 86 \n",
"82 Kazakhstan KAZ Asia Pacific 122 \n",
"89 Lebanon LBN Middle East 130 \n",
"110 Myanmar MMR Asia Pacific 176 \n",
"111 Namibia NAM Africa 18 \n",
"116 Niger NER Africa 59 \n",
"117 Nigeria NGA Africa 129 \n",
"135 Russia RUS Europe 155 \n",
"146 Somalia SOM Arab States 140 \n",
"156 Syria SYR Middle East 171 \n",
"158 Tajikistan TJK Asia Pacific 152 \n",
"159 Tanzania TZA Africa 123 \n",
"160 Thailand THA Asia Pacific 115 \n",
"161 Timor-Leste TLS Asia Pacific 17 \n",
"162 Togo TGO Africa 100 \n",
"163 Tonga TON Asia Pacific 49 \n",
"164 Trinidad and Tobago TTO South America 25 \n",
"165 Tunisia TUN Arab States 94 \n",
"166 Turkey TUR Europe 149 \n",
"167 Turkmenistan TKM Asia Pacific 177 \n",
"168 Uganda UGA Africa 132 \n",
"170 United Arab Emirates ARE Middle East 138 \n",
"176 Vietnam VNM Asia Pacific 174 \n",
"177 Yemen YEM Middle East 169 \n",
"\n",
" Position 2021 Global Score Politic Score Economic Score \\\n",
"9 167 39.40 37.66 23.76 \n",
"12 158 39.62 32.93 48.75 \n",
"26 144 43.48 42.42 27.96 \n",
"41 149 47.66 51.33 41.43 \n",
"52 101 50.53 50.65 45.77 \n",
"58 60 59.30 52.42 46.43 \n",
"60 30 67.43 66.61 47.22 \n",
"71 142 41.00 40.76 30.36 \n",
"73 174 23.22 30.71 21.32 \n",
"74 163 28.59 34.14 20.07 \n",
"76 86 59.62 65.15 55.10 \n",
"82 155 48.28 43.52 29.80 \n",
"89 107 46.58 50.91 38.27 \n",
"110 140 25.03 40.40 29.25 \n",
"111 24 81.84 72.97 69.80 \n",
"116 59 67.80 62.30 46.73 \n",
"117 120 46.79 45.15 36.39 \n",
"135 150 38.82 36.36 34.84 \n",
"146 161 44.01 51.03 41.22 \n",
"156 173 28.94 33.51 27.62 \n",
"158 162 40.26 33.79 29.85 \n",
"159 124 48.28 43.88 32.65 \n",
"160 137 50.15 58.99 45.24 \n",
"161 71 81.89 85.45 68.71 \n",
"162 74 57.17 57.52 41.73 \n",
"163 46 69.74 69.70 53.06 \n",
"164 31 78.68 73.94 67.86 \n",
"165 73 58.49 61.82 41.84 \n",
"166 153 41.25 38.38 27.55 \n",
"167 178 25.01 25.00 11.73 \n",
"168 125 46.35 44.70 36.99 \n",
"170 131 44.46 45.45 36.73 \n",
"176 175 26.11 32.32 18.71 \n",
"177 169 29.14 33.03 27.55 \n",
"\n",
" Legislative Score Social Score Security Score Journalist Killed \\\n",
"9 48.25 58.86 28.48 0 \n",
"12 37.23 60.33 18.85 0 \n",
"26 49.65 62.40 34.96 0 \n",
"41 60.88 60.30 24.34 0 \n",
"52 63.66 57.29 35.29 0 \n",
"58 80.79 75.50 41.34 0 \n",
"60 81.42 79.64 62.25 0 \n",
"71 57.02 56.25 20.61 1 \n",
"73 26.71 23.78 13.61 1 \n",
"74 29.82 40.67 18.27 0 \n",
"76 53.51 77.75 46.61 0 \n",
"82 51.93 52.30 63.85 0 \n",
"89 50.22 60.50 33.02 0 \n",
"110 20.18 30.67 4.63 1 \n",
"111 82.98 91.60 91.84 0 \n",
"116 71.75 76.50 81.69 0 \n",
"117 53.80 69.83 28.75 0 \n",
"135 44.61 51.29 27.00 0 \n",
"146 47.72 61.80 18.27 0 \n",
"156 33.58 36.57 13.39 1 \n",
"158 48.68 46.00 42.96 0 \n",
"159 45.09 59.20 60.56 0 \n",
"160 47.37 53.67 45.50 0 \n",
"161 85.96 75.67 93.65 0 \n",
"162 61.93 69.50 55.15 0 \n",
"163 66.67 69.50 89.80 0 \n",
"164 74.56 84.50 92.52 0 \n",
"165 67.19 70.20 51.42 0 \n",
"166 52.92 55.00 32.37 0 \n",
"167 29.61 23.00 35.69 0 \n",
"168 60.96 56.00 33.09 0 \n",
"170 32.02 50.50 57.59 0 \n",
"176 27.49 34.67 17.37 0 \n",
"177 38.60 35.00 11.54 3 \n",
"\n",
" Media Workers Killed Journalist Imprisoned Media Workers Imprisoned \\\n",
"9 0 2 0 \n",
"12 0 13 0 \n",
"26 0 1 0 \n",
"41 0 3 0 \n",
"52 0 16 0 \n",
"58 0 1 0 \n",
"60 0 2 0 \n",
"71 0 11 0 \n",
"73 0 3 0 \n",
"74 0 2 0 \n",
"76 0 2 0 \n",
"82 1 3 0 \n",
"89 0 1 0 \n",
"110 0 22 1 \n",
"111 0 2 0 \n",
"116 0 2 0 \n",
"117 0 1 0 \n",
"135 0 6 0 \n",
"146 0 4 0 \n",
"156 0 3 0 \n",
"158 0 5 0 \n",
"159 0 5 0 \n",
"160 0 5 0 \n",
"161 0 5 0 \n",
"162 0 5 0 \n",
"163 0 5 0 \n",
"164 0 5 0 \n",
"165 0 5 0 \n",
"166 0 1 0 \n",
"167 0 5 0 \n",
"168 0 2 0 \n",
"170 0 1 0 \n",
"176 0 1 0 \n",
"177 0 4 0 \n",
"\n",
" Situation \n",
"9 Very Serious \n",
"12 Very Serious \n",
"26 Difficult \n",
"41 Difficult \n",
"52 Difficult \n",
"58 Problematic \n",
"60 Problematic \n",
"71 Difficult \n",
"73 Very Serious \n",
"74 Very Serious \n",
"76 Problematic \n",
"82 Difficult \n",
"89 Difficult \n",
"110 Very Serious \n",
"111 Satisfactory \n",
"116 Problematic \n",
"117 Difficult \n",
"135 Very Serious \n",
"146 Difficult \n",
"156 Very Serious \n",
"158 Difficult \n",
"159 Difficult \n",
"160 Difficult \n",
"161 Satisfactory \n",
"162 Problematic \n",
"163 Problematic \n",
"164 Satisfactory \n",
"165 Problematic \n",
"166 Difficult \n",
"167 Very Serious \n",
"168 Difficult \n",
"170 Difficult \n",
"176 Very Serious \n",
"177 Very Serious "
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"print(\"\\n Pays où au moins un journaliste a été emprisonné en 2022 : \\n\")\n",
"dfJi"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Répartition du score global en fonction des différents pays :\n"
]
},
{
"data": {
"text/plain": [
"<AxesSubplot:>"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": "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",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"print(\"Répartition du score global en fonction des différents pays :\")\n",
"gscore.hist(bins = 50)"
]
},
{
"cell_type": "code",
"execution_count": 42,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Journalistes tués en fonction des pays (les 5 pays où le nombre de journalistes tués en 2022 est le plus élevé) :\n"
]
},
{
"data": {
"image/png": "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",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"jkilledtop5 = df.sort_values(by=['Journalist Killed'])\n",
"jkilledtop5 = jkilledtop5.tail(5)\n",
"print(\"Journalistes tués en fonction des pays (les 5 pays où le nombre de journalistes tués en 2022 est le plus élevé) :\")\n",
"plt.figure()\n",
"plt.plot(jkilledtop5[\"Country\"],jkilledtop5[\"Journalist Killed\"],'r')\n",
"plt.plot(jkilledtop5[\"Country\"],jkilledtop5[\"Journalist Killed\"],'bx')\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Ces pays se trouvent dans ce graphique car ils sont quasiment tous en situation de guerre avec un autre pays (Ukraine) ou encore en situation de guerre civile (Yemen,Haïti...). Pour le Mexique, les cartels\n",
"\n",
"éxecutent les journalistes enquétant sur leurs trafics."
]
},
{
"cell_type": "code",
"execution_count": 41,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Score politque en fonction des pays (les 5 pays où le score politique est le moins élevé) :\n"
]
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"pscoretop5 = df.sort_values(by=[\"Politic Score\"])\n",
"pscoretop5 = pscoretop5.head(5)\n",
"print(\"Score politque en fonction des pays (les 5 pays où le score politique est le moins élevé) :\")\n",
"plt.figure()\n",
"plt.plot(pscoretop5[\"Country\"],pscoretop5[\"Politic Score\"],'b')\n",
"plt.plot(pscoretop5[\"Country\"],pscoretop5[\"Politic Score\"],'rx')\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 44,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Score global en fonction des pays (les 5 pays où le score global est le moins élevé) :\n"
]
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"gscoretop5 = df.sort_values(by=[\"Global Score\"])\n",
"gscoretop5 = gscoretop5.head(5)\n",
"print(\"Score global en fonction des pays (les 5 pays où le score global est le moins élevé) :\")\n",
"plt.figure()\n",
"plt.plot(gscoretop5[\"Country\"],gscoretop5[\"Global Score\"],'b')\n",
"plt.plot(gscoretop5[\"Country\"],gscoretop5[\"Global Score\"],'rx')\n",
"plt.title(\"Score global en 2022 en fonction des pays (les 5 pays où le score global est le moins élevé) :\")\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 26,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Score global en fonction des pays (les 5 pays où le score global est le moins élevé) :\n"
]
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"escoretop5 = df.sort_values(by=[\"Economic Score\"])\n",
"escoretop5 = escoretop5.head(5)\n",
"print(\"Score global en fonction des pays (les 5 pays où le score global est le moins élevé) :\")\n",
"plt.figure()\n",
"plt.plot(escoretop5[\"Country\"],escoretop5[\"Economic Score\"],'b')\n",
"plt.plot(escoretop5[\"Country\"],escoretop5[\"Economic Score\"],'rx')\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"On peut constater avec ce graphique que certaines données ne sont pas disponibles au public car certains pays ne souhaitent pas les communiquer comme la Corée du Nord (régime dictatorial)."
]
},
{
"cell_type": "code",
"execution_count": 43,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Top 5 des pays ayant la meilleure position au niveau de la liberté de la presse en fonction de leur score politique :\n"
]
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Score supérieur à 95% des scores politiques : 87.25099999999999\n"
]
}
],
"source": [
"postop5 = df.sort_values(by=[\"Position 2022\"])\n",
"postop5 = postop5.head(5)\n",
"print(\"Top 5 des pays ayant la meilleure position au niveau de la liberté de la presse en fonction de leur score politique :\")\n",
"plt.figure()\n",
"plt.plot(postop5[\"Country\"],postop5[\"Politic Score\"],'g')\n",
"plt.plot(postop5[\"Country\"],postop5[\"Politic Score\"],'rx')\n",
"plt.show()\n",
"print(\"Score supérieur à 95% des scores politiques :\",pscore.quantile(0.95))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Les pays qui ont la meilleure position dans le monde au niveau de la liberté de la presse sont ceux qui ont un score politique dans les 5% les plus élevés."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.2"
}
},
"nbformat": 4,
"nbformat_minor": 2
}