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Ayxan d660f2a4ca first commit
2022-05-23 00:16:32 +04:00

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{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"import pandas as pd"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"data_age = pd.read_excel('../data/azerbaijan_suicide_data.xlsx', sheet_name='age')\n",
"data_year = pd.read_excel('../data/azerbaijan_suicide_data.xlsx', sheet_name='year')"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"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>Age</th>\n",
" <th>Both_sexes</th>\n",
" <th>Male</th>\n",
" <th>Female</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>85+</td>\n",
" <td>23.97</td>\n",
" <td>38.35</td>\n",
" <td>16.87</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>75-84</td>\n",
" <td>10.40</td>\n",
" <td>15.22</td>\n",
" <td>7.36</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>65-74</td>\n",
" <td>6.82</td>\n",
" <td>10.93</td>\n",
" <td>3.57</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>55-64</td>\n",
" <td>5.70</td>\n",
" <td>9.50</td>\n",
" <td>2.35</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>45-54</td>\n",
" <td>5.25</td>\n",
" <td>9.14</td>\n",
" <td>1.73</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>35-44</td>\n",
" <td>5.42</td>\n",
" <td>9.42</td>\n",
" <td>1.50</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>25-34</td>\n",
" <td>4.89</td>\n",
" <td>8.43</td>\n",
" <td>1.36</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>15-24</td>\n",
" <td>4.00</td>\n",
" <td>6.38</td>\n",
" <td>1.34</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Age Both_sexes Male Female\n",
"0 85+ 23.97 38.35 16.87\n",
"1 75-84 10.40 15.22 7.36\n",
"2 65-74 6.82 10.93 3.57\n",
"3 55-64 5.70 9.50 2.35\n",
"4 45-54 5.25 9.14 1.73\n",
"5 35-44 5.42 9.42 1.50\n",
"6 25-34 4.89 8.43 1.36\n",
"7 15-24 4.00 6.38 1.34"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"data_age"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"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>Year</th>\n",
" <th>Both_sexes</th>\n",
" <th>Male</th>\n",
" <th>Female</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>2019</td>\n",
" <td>3.97 [2.31 – 6.31]</td>\n",
" <td>6.61 [3.83 – 10.48]</td>\n",
" <td>1.48 [0.88 – 2.37]</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>2018</td>\n",
" <td>3.92 [2.31 – 6.16]</td>\n",
" <td>6.52 [3.81 – 10.21]</td>\n",
" <td>1.49 [0.9 – 2.36]</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>2017</td>\n",
" <td>3.91 [2.31 – 6.07]</td>\n",
" <td>6.48 [3.8 – 10]</td>\n",
" <td>1.53 [0.92 – 2.42]</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>2016</td>\n",
" <td>3.92 [2.33 – 6.01]</td>\n",
" <td>6.51 [3.83 – 9.91]</td>\n",
" <td>1.54 [0.94 – 2.4]</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>2015</td>\n",
" <td>3.99 [2.37 – 6.07]</td>\n",
" <td>6.64 [3.91 – 10.03]</td>\n",
" <td>1.56 [0.95 – 2.43]</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>2014</td>\n",
" <td>4.1 [2.43 – 6.18]</td>\n",
" <td>6.83 [4 – 10.23]</td>\n",
" <td>1.59 [0.98 – 2.46]</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>2013</td>\n",
" <td>4.19 [2.47 – 6.26]</td>\n",
" <td>6.99 [4.05 – 10.36]</td>\n",
" <td>1.63 [1.01 – 2.52]</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>2012</td>\n",
" <td>4.31 [2.53 – 6.37]</td>\n",
" <td>7.12 [4.1 – 10.44]</td>\n",
" <td>1.75 [1.09 – 2.66]</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>2011</td>\n",
" <td>4.44 [2.59 – 6.52]</td>\n",
" <td>7.33 [4.16 – 10.68]</td>\n",
" <td>1.8 [1.14 – 2.72]</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <td>2010</td>\n",
" <td>4.53 [2.61 – 6.6]</td>\n",
" <td>7.44 [4.15 – 10.76]</td>\n",
" <td>1.87 [1.2 – 2.79]</td>\n",
" </tr>\n",
" <tr>\n",
" <th>10</th>\n",
" <td>2009</td>\n",
" <td>4.64 [2.65 – 6.71]</td>\n",
" <td>7.62 [4.17 – 10.97]</td>\n",
" <td>1.92 [1.25 – 2.83]</td>\n",
" </tr>\n",
" <tr>\n",
" <th>11</th>\n",
" <td>2008</td>\n",
" <td>4.79 [2.72 – 6.83]</td>\n",
" <td>7.86 [4.26 – 11.16]</td>\n",
" <td>1.99 [1.31 – 2.89]</td>\n",
" </tr>\n",
" <tr>\n",
" <th>12</th>\n",
" <td>2007</td>\n",
" <td>5 [2.81 – 7.04]</td>\n",
" <td>8.17 [4.33 – 11.43]</td>\n",
" <td>2.12 [1.42 – 3.05]</td>\n",
" </tr>\n",
" <tr>\n",
" <th>13</th>\n",
" <td>2006</td>\n",
" <td>4.85 [2.84 – 6.72]</td>\n",
" <td>7.98 [4.46 – 10.99]</td>\n",
" <td>2.01 [1.36 – 2.85]</td>\n",
" </tr>\n",
" <tr>\n",
" <th>14</th>\n",
" <td>2005</td>\n",
" <td>4.69 [2.84 – 6.39]</td>\n",
" <td>7.7 [4.48 – 10.41]</td>\n",
" <td>1.96 [1.35 – 2.76]</td>\n",
" </tr>\n",
" <tr>\n",
" <th>15</th>\n",
" <td>2004</td>\n",
" <td>4.5 [2.82 – 6.05]</td>\n",
" <td>7.43 [4.5 – 9.88]</td>\n",
" <td>1.86 [1.29 – 2.59]</td>\n",
" </tr>\n",
" <tr>\n",
" <th>16</th>\n",
" <td>2003</td>\n",
" <td>4.04 [2.63 – 5.38]</td>\n",
" <td>6.65 [4.24 – 8.77]</td>\n",
" <td>1.69 [1.19 – 2.35]</td>\n",
" </tr>\n",
" <tr>\n",
" <th>17</th>\n",
" <td>2002</td>\n",
" <td>3.88 [2.64 – 5.16]</td>\n",
" <td>6.46 [4.35 – 8.51]</td>\n",
" <td>1.57 [1.11 – 2.17]</td>\n",
" </tr>\n",
" <tr>\n",
" <th>18</th>\n",
" <td>2001</td>\n",
" <td>3.72 [2.62 – 4.94]</td>\n",
" <td>6.21 [4.35 – 8.16]</td>\n",
" <td>1.5 [1.06 – 2.06]</td>\n",
" </tr>\n",
" <tr>\n",
" <th>19</th>\n",
" <td>2000</td>\n",
" <td>3.42 [2.52 – 4.66]</td>\n",
" <td>5.76 [4.29 – 7.85]</td>\n",
" <td>1.33 [0.94 – 1.83]</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Year Both_sexes Male Female\n",
"0 2019 3.97 [2.31 – 6.31] 6.61 [3.83 – 10.48] 1.48 [0.88 – 2.37]\n",
"1 2018 3.92 [2.31 – 6.16] 6.52 [3.81 – 10.21] 1.49 [0.9 – 2.36]\n",
"2 2017 3.91 [2.31 – 6.07] 6.48 [3.8 – 10] 1.53 [0.92 – 2.42]\n",
"3 2016 3.92 [2.33 – 6.01] 6.51 [3.83 – 9.91] 1.54 [0.94 – 2.4]\n",
"4 2015 3.99 [2.37 – 6.07] 6.64 [3.91 – 10.03] 1.56 [0.95 – 2.43]\n",
"5 2014 4.1 [2.43 – 6.18] 6.83 [4 – 10.23] 1.59 [0.98 – 2.46]\n",
"6 2013 4.19 [2.47 – 6.26] 6.99 [4.05 – 10.36] 1.63 [1.01 – 2.52]\n",
"7 2012 4.31 [2.53 – 6.37] 7.12 [4.1 – 10.44] 1.75 [1.09 – 2.66]\n",
"8 2011 4.44 [2.59 – 6.52] 7.33 [4.16 – 10.68] 1.8 [1.14 – 2.72]\n",
"9 2010 4.53 [2.61 – 6.6] 7.44 [4.15 – 10.76] 1.87 [1.2 – 2.79]\n",
"10 2009 4.64 [2.65 – 6.71] 7.62 [4.17 – 10.97] 1.92 [1.25 – 2.83]\n",
"11 2008 4.79 [2.72 – 6.83] 7.86 [4.26 – 11.16] 1.99 [1.31 – 2.89]\n",
"12 2007 5 [2.81 – 7.04] 8.17 [4.33 – 11.43] 2.12 [1.42 – 3.05]\n",
"13 2006 4.85 [2.84 – 6.72] 7.98 [4.46 – 10.99] 2.01 [1.36 – 2.85]\n",
"14 2005 4.69 [2.84 – 6.39] 7.7 [4.48 – 10.41] 1.96 [1.35 – 2.76]\n",
"15 2004 4.5 [2.82 – 6.05] 7.43 [4.5 – 9.88] 1.86 [1.29 – 2.59]\n",
"16 2003 4.04 [2.63 – 5.38] 6.65 [4.24 – 8.77] 1.69 [1.19 – 2.35]\n",
"17 2002 3.88 [2.64 – 5.16] 6.46 [4.35 – 8.51] 1.57 [1.11 – 2.17]\n",
"18 2001 3.72 [2.62 – 4.94] 6.21 [4.35 – 8.16] 1.5 [1.06 – 2.06]\n",
"19 2000 3.42 [2.52 – 4.66] 5.76 [4.29 – 7.85] 1.33 [0.94 – 1.83]"
]
},
"execution_count": 4,
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"data_year"
]
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