From bfe8b013f8c86ac3f428dec84e35b463b0a0e702 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Micha=C5=82=20Sar?=
<101715585+michal-sar@users.noreply.github.com>
Date: Mon, 13 May 2024 15:20:33 +0200
Subject: [PATCH] podzial na programy, podzielenie wartosci kwotowej na liczbe
mieszkancow, dodanie rodzaju gminy
---
main.ipynb | 1596 ++++++++++++++++++++--------------------------------
1 file changed, 596 insertions(+), 1000 deletions(-)
diff --git a/main.ipynb b/main.ipynb
index bc9d80cf..e4cbb667 100644
--- a/main.ipynb
+++ b/main.ipynb
@@ -9,7 +9,7 @@
},
{
"cell_type": "code",
- "execution_count": 324,
+ "execution_count": 411,
"metadata": {},
"outputs": [],
"source": [
@@ -18,7 +18,7 @@
},
{
"cell_type": "code",
- "execution_count": 325,
+ "execution_count": 412,
"metadata": {},
"outputs": [],
"source": [
@@ -34,14 +34,14 @@
},
{
"cell_type": "code",
- "execution_count": 326,
+ "execution_count": 413,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
- "C:\\Users\\micha\\AppData\\Local\\Temp\\ipykernel_22072\\3760256257.py:1: DtypeWarning: Columns (25) have mixed types. Specify dtype option on import or set low_memory=False.\n",
+ "C:\\Users\\micha\\AppData\\Local\\Temp\\ipykernel_7800\\3760256257.py:1: DtypeWarning: Columns (25) have mixed types. Specify dtype option on import or set low_memory=False.\n",
" df_dofinansowanie = pd.read_csv(\n"
]
}
@@ -67,7 +67,39 @@
},
{
"cell_type": "code",
- "execution_count": 327,
+ "execution_count": 414,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "['Program Operacyjny Inteligentny Rozwój'\n",
+ " 'Program Operacyjny Infrastruktura i ?rodowisko 2014-2020'\n",
+ " 'Program Operacyjny Polska Cyfrowa'\n",
+ " 'Program Operacyjny Pomoc Techniczna 2014-2020'\n",
+ " 'Program Operacyjny Polska Wschodnia'\n",
+ " 'Program Operacyjny Wiedza Edukacja Rozwój']\n"
+ ]
+ }
+ ],
+ "source": [
+ "print(df_dofinansowanie['Program operacyjny'].drop_duplicates().values)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 415,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# Wybór programu operacyjnego...\n",
+ "df_dofinansowanie = df_dofinansowanie.loc[df_dofinansowanie['Program operacyjny'] == 'Program Operacyjny Infrastruktura i ?rodowisko 2014-2020'].reset_index(drop=True)\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 416,
"metadata": {},
"outputs": [],
"source": [
@@ -88,7 +120,7 @@
},
{
"cell_type": "code",
- "execution_count": 328,
+ "execution_count": 417,
"metadata": {},
"outputs": [],
"source": [
@@ -105,7 +137,7 @@
},
{
"cell_type": "code",
- "execution_count": 329,
+ "execution_count": 418,
"metadata": {},
"outputs": [],
"source": [
@@ -124,14 +156,14 @@
},
{
"cell_type": "code",
- "execution_count": 330,
+ "execution_count": 419,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
- "C:\\Users\\micha\\AppData\\Local\\Temp\\ipykernel_22072\\1671418303.py:1: DtypeWarning: Columns (7) have mixed types. Specify dtype option on import or set low_memory=False.\n",
+ "C:\\Users\\micha\\AppData\\Local\\Temp\\ipykernel_7800\\1671418303.py:1: DtypeWarning: Columns (7) have mixed types. Specify dtype option on import or set low_memory=False.\n",
" df_fina_1 = pd.read_csv(\n"
]
},
@@ -424,7 +456,7 @@
"[47083 rows x 11 columns]"
]
},
- "execution_count": 330,
+ "execution_count": 419,
"metadata": {},
"output_type": "execute_result"
}
@@ -454,14 +486,14 @@
},
{
"cell_type": "code",
- "execution_count": 331,
+ "execution_count": 420,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
- "C:\\Users\\micha\\AppData\\Local\\Temp\\ipykernel_22072\\2161929356.py:1: DtypeWarning: Columns (7) have mixed types. Specify dtype option on import or set low_memory=False.\n",
+ "C:\\Users\\micha\\AppData\\Local\\Temp\\ipykernel_7800\\2161929356.py:1: DtypeWarning: Columns (7) have mixed types. Specify dtype option on import or set low_memory=False.\n",
" df_fina_2 = pd.read_csv(\n"
]
},
@@ -829,7 +861,7 @@
"[47083 rows x 14 columns]"
]
},
- "execution_count": 331,
+ "execution_count": 420,
"metadata": {},
"output_type": "execute_result"
}
@@ -862,7 +894,7 @@
},
{
"cell_type": "code",
- "execution_count": 332,
+ "execution_count": 421,
"metadata": {},
"outputs": [
{
@@ -1079,7 +1111,7 @@
"[48611 rows x 8 columns]"
]
},
- "execution_count": 332,
+ "execution_count": 421,
"metadata": {},
"output_type": "execute_result"
}
@@ -1106,7 +1138,7 @@
},
{
"cell_type": "code",
- "execution_count": 333,
+ "execution_count": 422,
"metadata": {},
"outputs": [
{
@@ -1349,7 +1381,7 @@
"[48611 rows x 8 columns]"
]
},
- "execution_count": 333,
+ "execution_count": 422,
"metadata": {},
"output_type": "execute_result"
}
@@ -1376,7 +1408,7 @@
},
{
"cell_type": "code",
- "execution_count": 334,
+ "execution_count": 423,
"metadata": {},
"outputs": [
{
@@ -1606,7 +1638,7 @@
"[48611 rows x 8 columns]"
]
},
- "execution_count": 334,
+ "execution_count": 423,
"metadata": {},
"output_type": "execute_result"
}
@@ -1633,7 +1665,7 @@
},
{
"cell_type": "code",
- "execution_count": 335,
+ "execution_count": 424,
"metadata": {},
"outputs": [],
"source": [
@@ -1668,7 +1700,7 @@
},
{
"cell_type": "code",
- "execution_count": 336,
+ "execution_count": 425,
"metadata": {},
"outputs": [
{
@@ -2145,7 +2177,7 @@
"[48611 rows x 25 columns]"
]
},
- "execution_count": 336,
+ "execution_count": 425,
"metadata": {},
"output_type": "execute_result"
}
@@ -2190,7 +2222,7 @@
},
{
"cell_type": "code",
- "execution_count": 337,
+ "execution_count": 426,
"metadata": {},
"outputs": [
{
@@ -2407,7 +2439,7 @@
"[34702 rows x 8 columns]"
]
},
- "execution_count": 337,
+ "execution_count": 426,
"metadata": {},
"output_type": "execute_result"
}
@@ -2434,7 +2466,7 @@
},
{
"cell_type": "code",
- "execution_count": 338,
+ "execution_count": 427,
"metadata": {},
"outputs": [
{
@@ -2663,7 +2695,7 @@
"[48535 rows x 9 columns]"
]
},
- "execution_count": 338,
+ "execution_count": 427,
"metadata": {},
"output_type": "execute_result"
}
@@ -2698,14 +2730,14 @@
},
{
"cell_type": "code",
- "execution_count": 339,
+ "execution_count": 428,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
- "9728\n"
+ "2273\n"
]
}
],
@@ -2716,7 +2748,7 @@
},
{
"cell_type": "code",
- "execution_count": 340,
+ "execution_count": 429,
"metadata": {},
"outputs": [],
"source": [
@@ -2743,14 +2775,28 @@
},
{
"cell_type": "code",
- "execution_count": 341,
+ "execution_count": 430,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "rodzaj_gminy_dictionary = {\n",
+ "'1': 'Gmina miejska',\n",
+ "'2': 'Gmina wiejska',\n",
+ "'3': 'Gmina miejsko-wiejska'}\n",
+ "\n",
+ "df_data = pd.concat([df_data, pd.get_dummies(df_data['Kod'].apply(lambda x: rodzaj_gminy_dictionary.get(x[-1], None))).astype(int)], axis=1)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 431,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
- "9728\n"
+ "2273\n"
]
}
],
@@ -2762,14 +2808,14 @@
},
{
"cell_type": "code",
- "execution_count": 342,
+ "execution_count": 432,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
- "9728\n"
+ "2273\n"
]
}
],
@@ -2781,15 +2827,15 @@
},
{
"cell_type": "code",
- "execution_count": 343,
+ "execution_count": 433,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
- "9728\n",
- "9728\n"
+ "2273\n",
+ "2273\n"
]
}
],
@@ -2805,18 +2851,18 @@
},
{
"cell_type": "code",
- "execution_count": 344,
+ "execution_count": 434,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
- "9728\n",
- "9728\n",
- "9728\n",
- "9728\n",
- "9728\n"
+ "2273\n",
+ "2273\n",
+ "2273\n",
+ "2273\n",
+ "2273\n"
]
}
],
@@ -2844,14 +2890,14 @@
},
{
"cell_type": "code",
- "execution_count": 345,
+ "execution_count": 435,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
- "9728\n"
+ "2273\n"
]
}
],
@@ -2863,14 +2909,14 @@
},
{
"cell_type": "code",
- "execution_count": 346,
+ "execution_count": 436,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
- "9728\n"
+ "2273\n"
]
}
],
@@ -2882,16 +2928,16 @@
},
{
"cell_type": "code",
- "execution_count": 347,
+ "execution_count": 437,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
- "0.3548088160423639"
+ "0.6733698870134954"
]
},
- "execution_count": 347,
+ "execution_count": 437,
"metadata": {},
"output_type": "execute_result"
}
@@ -2902,6 +2948,15 @@
"df_data['Gestosc_zaludnienia'].mean()"
]
},
+ {
+ "cell_type": "code",
+ "execution_count": 438,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "df_data['Suma'] = df_data['Suma'] / df_data['Ludnosc']"
+ ]
+ },
{
"cell_type": "markdown",
"metadata": {},
@@ -2911,7 +2966,7 @@
},
{
"cell_type": "code",
- "execution_count": 348,
+ "execution_count": 439,
"metadata": {},
"outputs": [
{
@@ -2935,406 +2990,100 @@
" \n",
" \n",
" | \n",
- " Kod | \n",
- " Rok | \n",
" Suma | \n",
- " Wojewodztwo_Dolnoslaskie | \n",
- " Wojewodztwo_Kujawsko_Pomorskie | \n",
- " Wojewodztwo_Lodzkie | \n",
- " Wojewodztwo_Lubelskie | \n",
- " Wojewodztwo_Lubuskie | \n",
- " Wojewodztwo_Malopolskie | \n",
- " Wojewodztwo_Mazowieckie | \n",
- " ... | \n",
- " Turysci_ogolem | \n",
- " Turysci_zagraniczni | \n",
- " Bezrobotni_do_25_roku_zycia | \n",
- " Bezrobotni_do_30_roku_zycia | \n",
- " Dlugotrwale_bezrobotni | \n",
- " Bezrobotne_kobiety | \n",
- " Bezrobotni_mezczyzni | \n",
- " Bezrobotni_ogolem | \n",
- " Bezrobotni_powyzej_50_roku_zycia | \n",
- " Gestosc_zaludnienia | \n",
+ " Ludnosc | \n",
"
\n",
" \n",
" \n",
" \n",
" | 0 | \n",
- " 0201011 | \n",
- " 2014 | \n",
- " 2482706.36 | \n",
- " 1 | \n",
- " 0 | \n",
- " 0 | \n",
- " 0 | \n",
- " 0 | \n",
- " 0 | \n",
- " 0 | \n",
- " ... | \n",
- " 12398.00 | \n",
- " 3919.00 | \n",
- " 172.50 | \n",
- " NaN | \n",
- " 651.50 | \n",
- " 648.50 | \n",
- " 667.50 | \n",
- " 1316.00 | \n",
- " 402.00 | \n",
- " 1.64 | \n",
+ " 62917.04 | \n",
+ " 39.46 | \n",
"
\n",
" \n",
" | 1 | \n",
- " 0201011 | \n",
- " 2016 | \n",
- " 1016449.03 | \n",
- " 1 | \n",
- " 0 | \n",
- " 0 | \n",
- " 0 | \n",
- " 0 | \n",
- " 0 | \n",
- " 0 | \n",
- " ... | \n",
- " NaN | \n",
- " NaN | \n",
- " 86.00 | \n",
- " 177.50 | \n",
- " 282.50 | \n",
- " 391.00 | \n",
- " 378.00 | \n",
- " 769.00 | \n",
- " 264.00 | \n",
- " 1.63 | \n",
+ " 3520.19 | \n",
+ " 39.08 | \n",
"
\n",
" \n",
" | 2 | \n",
- " 0201011 | \n",
- " 2017 | \n",
- " 1507540.44 | \n",
- " 1 | \n",
- " 0 | \n",
- " 0 | \n",
- " 0 | \n",
- " 0 | \n",
- " 0 | \n",
- " 0 | \n",
- " ... | \n",
- " NaN | \n",
- " NaN | \n",
- " 63.50 | \n",
- " 141.00 | \n",
- " 215.00 | \n",
- " 314.00 | \n",
- " 290.00 | \n",
- " 604.00 | \n",
- " 197.00 | \n",
- " 1.63 | \n",
+ " 224163.57 | \n",
+ " 37.66 | \n",
"
\n",
" \n",
" | 3 | \n",
- " 0201011 | \n",
- " 2018 | \n",
- " 1125087.75 | \n",
- " 1 | \n",
- " 0 | \n",
- " 0 | \n",
- " 0 | \n",
- " 0 | \n",
- " 0 | \n",
- " 0 | \n",
- " ... | \n",
- " NaN | \n",
- " NaN | \n",
- " 55.50 | \n",
- " 133.50 | \n",
- " 169.00 | \n",
- " 277.50 | \n",
- " 217.50 | \n",
- " 495.00 | \n",
- " 151.50 | \n",
- " 1.62 | \n",
+ " 32473.38 | \n",
+ " 14.09 | \n",
"
\n",
" \n",
" | 4 | \n",
- " 0201011 | \n",
- " 2020 | \n",
- " 9052911.45 | \n",
- " 1 | \n",
- " 0 | \n",
- " 0 | \n",
- " 0 | \n",
- " 0 | \n",
- " 0 | \n",
- " 0 | \n",
- " ... | \n",
- " NaN | \n",
- " NaN | \n",
- " 74.00 | \n",
- " 189.00 | \n",
- " 239.00 | \n",
- " 391.50 | \n",
- " 334.50 | \n",
- " 726.00 | \n",
- " 180.50 | \n",
- " 1.57 | \n",
+ " 25713.81 | \n",
+ " 5.35 | \n",
"
\n",
" \n",
" | ... | \n",
" ... | \n",
" ... | \n",
- " ... | \n",
- " ... | \n",
- " ... | \n",
- " ... | \n",
- " ... | \n",
- " ... | \n",
- " ... | \n",
- " ... | \n",
- " ... | \n",
- " ... | \n",
- " ... | \n",
- " ... | \n",
- " ... | \n",
- " ... | \n",
- " ... | \n",
- " ... | \n",
- " ... | \n",
- " ... | \n",
- " ... | \n",
"
\n",
" \n",
- " | 9723 | \n",
- " 3263011 | \n",
- " 2017 | \n",
- " 467956789.99 | \n",
- " 0 | \n",
- " 0 | \n",
- " 0 | \n",
- " 0 | \n",
- " 0 | \n",
- " 0 | \n",
- " 0 | \n",
- " ... | \n",
+ " 2268 | \n",
" NaN | \n",
" NaN | \n",
- " 49.50 | \n",
- " 109.00 | \n",
- " 301.50 | \n",
- " 374.00 | \n",
- " 329.00 | \n",
- " 703.00 | \n",
- " 266.00 | \n",
- " 0.21 | \n",
"
\n",
" \n",
- " | 9724 | \n",
- " 3263011 | \n",
- " 2018 | \n",
- " 11972196.58 | \n",
- " 0 | \n",
- " 0 | \n",
- " 0 | \n",
- " 0 | \n",
- " 0 | \n",
- " 0 | \n",
- " 0 | \n",
- " ... | \n",
- " NaN | \n",
- " NaN | \n",
- " 40.50 | \n",
- " 91.00 | \n",
- " 278.00 | \n",
- " 328.00 | \n",
- " 285.50 | \n",
- " 613.50 | \n",
- " 227.00 | \n",
- " 0.20 | \n",
+ " 2269 | \n",
+ " 196539.43 | \n",
+ " 41.28 | \n",
"
\n",
" \n",
- " | 9725 | \n",
- " 3263011 | \n",
- " 2019 | \n",
- " 2074346.69 | \n",
- " 0 | \n",
- " 0 | \n",
- " 0 | \n",
- " 0 | \n",
- " 0 | \n",
- " 0 | \n",
- " 0 | \n",
- " ... | \n",
- " NaN | \n",
- " NaN | \n",
- " 27.50 | \n",
- " 66.00 | \n",
- " 226.50 | \n",
- " 272.50 | \n",
- " 221.00 | \n",
- " 493.50 | \n",
- " 181.00 | \n",
- " 0.20 | \n",
+ " 2270 | \n",
+ " 7900.24 | \n",
+ " 41.15 | \n",
"
\n",
" \n",
- " | 9726 | \n",
- " 3263011 | \n",
- " 2020 | \n",
- " 8314185.11 | \n",
- " 0 | \n",
- " 0 | \n",
- " 0 | \n",
- " 0 | \n",
- " 0 | \n",
- " 0 | \n",
- " 0 | \n",
- " ... | \n",
- " NaN | \n",
- " NaN | \n",
- " 56.00 | \n",
- " 142.00 | \n",
- " 239.50 | \n",
- " 390.00 | \n",
- " 361.50 | \n",
- " 751.50 | \n",
- " 250.00 | \n",
- " 0.20 | \n",
+ " 2271 | \n",
+ " 11386418.96 | \n",
+ " 41.03 | \n",
"
\n",
" \n",
- " | 9727 | \n",
- " 3263011 | \n",
- " 2021 | \n",
- " 752819.71 | \n",
- " 0 | \n",
- " 0 | \n",
- " 0 | \n",
- " 0 | \n",
- " 0 | \n",
- " 0 | \n",
- " 0 | \n",
- " ... | \n",
- " NaN | \n",
- " NaN | \n",
- " 34.50 | \n",
- " 88.00 | \n",
- " 260.50 | \n",
- " 295.00 | \n",
- " 341.00 | \n",
- " 636.00 | \n",
- " 239.50 | \n",
- " 0.20 | \n",
+ " 2272 | \n",
+ " 188601.28 | \n",
+ " 40.33 | \n",
"
\n",
" \n",
"\n",
- "9728 rows × 104 columns
\n",
+ "2273 rows × 2 columns
\n",
""
],
"text/plain": [
- " Kod Rok Suma Wojewodztwo_Dolnoslaskie \n",
- "0 0201011 2014 2482706.36 1 \\\n",
- "1 0201011 2016 1016449.03 1 \n",
- "2 0201011 2017 1507540.44 1 \n",
- "3 0201011 2018 1125087.75 1 \n",
- "4 0201011 2020 9052911.45 1 \n",
- "... ... ... ... ... \n",
- "9723 3263011 2017 467956789.99 0 \n",
- "9724 3263011 2018 11972196.58 0 \n",
- "9725 3263011 2019 2074346.69 0 \n",
- "9726 3263011 2020 8314185.11 0 \n",
- "9727 3263011 2021 752819.71 0 \n",
+ " Suma Ludnosc\n",
+ "0 62917.04 39.46\n",
+ "1 3520.19 39.08\n",
+ "2 224163.57 37.66\n",
+ "3 32473.38 14.09\n",
+ "4 25713.81 5.35\n",
+ "... ... ...\n",
+ "2268 NaN NaN\n",
+ "2269 196539.43 41.28\n",
+ "2270 7900.24 41.15\n",
+ "2271 11386418.96 41.03\n",
+ "2272 188601.28 40.33\n",
"\n",
- " Wojewodztwo_Kujawsko_Pomorskie Wojewodztwo_Lodzkie \n",
- "0 0 0 \\\n",
- "1 0 0 \n",
- "2 0 0 \n",
- "3 0 0 \n",
- "4 0 0 \n",
- "... ... ... \n",
- "9723 0 0 \n",
- "9724 0 0 \n",
- "9725 0 0 \n",
- "9726 0 0 \n",
- "9727 0 0 \n",
- "\n",
- " Wojewodztwo_Lubelskie Wojewodztwo_Lubuskie Wojewodztwo_Malopolskie \n",
- "0 0 0 0 \\\n",
- "1 0 0 0 \n",
- "2 0 0 0 \n",
- "3 0 0 0 \n",
- "4 0 0 0 \n",
- "... ... ... ... \n",
- "9723 0 0 0 \n",
- "9724 0 0 0 \n",
- "9725 0 0 0 \n",
- "9726 0 0 0 \n",
- "9727 0 0 0 \n",
- "\n",
- " Wojewodztwo_Mazowieckie ... Turysci_ogolem Turysci_zagraniczni \n",
- "0 0 ... 12398.00 3919.00 \\\n",
- "1 0 ... NaN NaN \n",
- "2 0 ... NaN NaN \n",
- "3 0 ... NaN NaN \n",
- "4 0 ... NaN NaN \n",
- "... ... ... ... ... \n",
- "9723 0 ... NaN NaN \n",
- "9724 0 ... NaN NaN \n",
- "9725 0 ... NaN NaN \n",
- "9726 0 ... NaN NaN \n",
- "9727 0 ... NaN NaN \n",
- "\n",
- " Bezrobotni_do_25_roku_zycia Bezrobotni_do_30_roku_zycia \n",
- "0 172.50 NaN \\\n",
- "1 86.00 177.50 \n",
- "2 63.50 141.00 \n",
- "3 55.50 133.50 \n",
- "4 74.00 189.00 \n",
- "... ... ... \n",
- "9723 49.50 109.00 \n",
- "9724 40.50 91.00 \n",
- "9725 27.50 66.00 \n",
- "9726 56.00 142.00 \n",
- "9727 34.50 88.00 \n",
- "\n",
- " Dlugotrwale_bezrobotni Bezrobotne_kobiety Bezrobotni_mezczyzni \n",
- "0 651.50 648.50 667.50 \\\n",
- "1 282.50 391.00 378.00 \n",
- "2 215.00 314.00 290.00 \n",
- "3 169.00 277.50 217.50 \n",
- "4 239.00 391.50 334.50 \n",
- "... ... ... ... \n",
- "9723 301.50 374.00 329.00 \n",
- "9724 278.00 328.00 285.50 \n",
- "9725 226.50 272.50 221.00 \n",
- "9726 239.50 390.00 361.50 \n",
- "9727 260.50 295.00 341.00 \n",
- "\n",
- " Bezrobotni_ogolem Bezrobotni_powyzej_50_roku_zycia Gestosc_zaludnienia \n",
- "0 1316.00 402.00 1.64 \n",
- "1 769.00 264.00 1.63 \n",
- "2 604.00 197.00 1.63 \n",
- "3 495.00 151.50 1.62 \n",
- "4 726.00 180.50 1.57 \n",
- "... ... ... ... \n",
- "9723 703.00 266.00 0.21 \n",
- "9724 613.50 227.00 0.20 \n",
- "9725 493.50 181.00 0.20 \n",
- "9726 751.50 250.00 0.20 \n",
- "9727 636.00 239.50 0.20 \n",
- "\n",
- "[9728 rows x 104 columns]"
+ "[2273 rows x 2 columns]"
]
},
- "execution_count": 348,
+ "execution_count": 439,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
- "df_data"
+ "df_data[['Suma', 'Ludnosc']]"
]
},
{
"cell_type": "code",
- "execution_count": 349,
+ "execution_count": 440,
"metadata": {},
"outputs": [],
"source": [
@@ -3343,7 +3092,7 @@
},
{
"cell_type": "code",
- "execution_count": 350,
+ "execution_count": 441,
"metadata": {},
"outputs": [],
"source": [
@@ -3352,26 +3101,22 @@
},
{
"cell_type": "code",
- "execution_count": 351,
+ "execution_count": 442,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
- "Wymeldowania_za_granice_kobiety 6196\n",
- "Wymeldowania_za_granice_mezczyzni 6196\n",
- "Wymeldowania_za_granice_ogolem 6196\n",
- "Miejsca_noclegowe_caloroczne 2263\n",
- "Miejsca_noclegowe_ogolem 2263\n",
- "Obiekty_caloroczne 2263\n",
- "Obiekty_ogolem 2263\n",
- "Turysci_ogolem 9177\n",
- "Turysci_zagraniczni 9177\n",
- "Bezrobotni_do_30_roku_zycia 863\n",
+ "Wymeldowania_za_granice_kobiety 775\n",
+ "Wymeldowania_za_granice_mezczyzni 775\n",
+ "Wymeldowania_za_granice_ogolem 775\n",
+ "Turysci_ogolem 1724\n",
+ "Turysci_zagraniczni 1724\n",
+ "Bezrobotni_do_30_roku_zycia 657\n",
"dtype: int64"
]
},
- "execution_count": 351,
+ "execution_count": 442,
"metadata": {},
"output_type": "execute_result"
}
@@ -3389,16 +3134,16 @@
},
{
"cell_type": "code",
- "execution_count": 352,
+ "execution_count": 443,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
- "9728\n",
- "9395\n",
- "Mean Squared Error: 2091634764504252.2\n"
+ "2273\n",
+ "2191\n",
+ "Mean Squared Error: 20582414771111.633\n"
]
}
],
@@ -3550,41 +3295,41 @@
},
{
"cell_type": "code",
- "execution_count": 353,
+ "execution_count": 444,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
- "Bezrobotni_powyzej_50_roku_zycia 0.69\n",
- "Bezrobotni_mezczyzni 0.68\n",
- "Bezrobotni_ogolem 0.67\n",
- "Bezrobotne_kobiety 0.66\n",
- "Dochody_z_majatku 0.65\n",
- "Dlugotrwale_bezrobotni 0.65\n",
- "Turysci_ogolem 0.62\n",
- "Ludnosc_kobiety_w_wieku_produkcyjnym_niemobilnym 0.62\n",
- "Ludnosc_w_wieku_produkcyjnym_niemobilnym 0.62\n",
- "Ludnosc_mezczyzni_w_wieku_produkcyjnym_niemobilnym 0.62\n",
- "Ludnosc_kobiety_w_wieku_produkcyjnym 0.62\n",
- "Ludnosc_w_wieku_produkcyjnym 0.62\n",
- "Ludnosc_mezczyzni_w_wieku_produkcyjnym 0.62\n",
- "Ludnosc_kobiety_w_wieku_produkcyjnym_mobilnym 0.62\n",
- "Dochody_z_uslug 0.62\n",
- "Ludnosc_w_wieku_produkcyjnym_mobilnym 0.62\n",
- "Zameldowania_z_miast_kobiety 0.61\n",
- "Ludnosc_kobiety_ludn_4 0.61\n",
- "Ludnosc_kobiety 0.61\n",
- "Ludnosc_mezczyzni_w_wieku_produkcyjnym_mobilnym 0.61\n",
- "Ludnosc_ogolem 0.61\n",
- "Ludnosc 0.61\n",
- "Ludnosc_kobiety_w_wieku_poprodukcyjnym 0.61\n",
- "Ludnosc_mezczyzni_ludn_4 0.61\n",
- "Ludnosc_mezczyzni 0.61\n",
- "Zameldowania_z_miast_ogolem 0.61\n",
- "Ludnosc_w_wieku_poprodukcyjnym 0.60\n",
- "Ludnosc_kobiety_w_wieku_przedprodukcyjnym 0.60\n",
+ "Gmina wiejska 0.14\n",
+ "Wojewodztwo_Dolnoslaskie 0.09\n",
+ "Dochody_podatek_rolny 0.07\n",
+ "Saldo_migracji_na_1000_ludnosci 0.06\n",
+ "Zmiana_liczby_ludnosci 0.05\n",
+ "Wojewodztwo_Warminsko_Mazurskie 0.05\n",
+ "Wojewodztwo_Pomorskie 0.04\n",
+ "Wojewodztwo_Opolskie 0.02\n",
+ "Saldo_migracji 0.01\n",
+ "Wojewodztwo_Mazowieckie 0.01\n",
+ "Turysci_ogolem 0.01\n",
+ "Turysci_zagraniczni 0.01\n",
+ "Wojewodztwo_Podkarpackie -0.00\n",
+ "Wplywy_z_oplaty_eksploatacyjnej -0.01\n",
+ "Wojewodztwo_Swietokrzyskie -0.01\n",
+ "Wojewodztwo_Zachodniopomorskie -0.01\n",
+ "Powierzchnia -0.01\n",
+ "Wojewodztwo_Slaskie -0.01\n",
+ "Wojewodztwo_Lubelskie -0.01\n",
+ "Obiekty_ogolem -0.02\n",
+ "Wojewodztwo_Lubuskie -0.02\n",
+ "Miejsca_noclegowe_ogolem -0.02\n",
+ "Wojewodztwo_Podlaskie -0.02\n",
+ "Dochody_podatek_PCC -0.02\n",
+ "Dochody_podatek_od_spadkow -0.02\n",
+ "Udzialy_w_podatkach_dochodowych_od_osob_prywatnych -0.02\n",
+ "Wynagrodzenie_w_relacji_do_sredniej -0.02\n",
+ "Dochody_z_uslug -0.02\n",
"Name: Suma, dtype: float64\n"
]
}
@@ -3596,12 +3341,12 @@
},
{
"cell_type": "code",
- "execution_count": 354,
+ "execution_count": 445,
"metadata": {},
"outputs": [
{
"data": {
- "image/png": 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",
+ "image/png": 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",
"text/plain": [
""
]
@@ -3624,12 +3369,12 @@
},
{
"cell_type": "code",
- "execution_count": 355,
+ "execution_count": 446,
"metadata": {},
"outputs": [
{
"data": {
- "image/png": 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",
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",
"text/plain": [
""
]
@@ -3652,482 +3397,333 @@
},
{
"cell_type": "code",
- "execution_count": 356,
+ "execution_count": 447,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/png": 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",
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "plt.scatter(y_test, y_pred, alpha=0.5, c=color_column_test, cmap='viridis')\n",
+ "plt.xlabel('Actual')\n",
+ "plt.ylabel('Predicted')\n",
+ "plt.title('Actual vs Predicted')\n",
+ "\n",
+ "plt.xlim(0, 3*10**6)\n",
+ "plt.ylim(0, 3*10**6)\n",
+ "\n",
+ "plt.show()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 448,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
- "|--- Bezrobotni_powyzej_50_roku_zycia <= 13525.75\n",
- "| |--- Zameldowania_mezczyzni <= 1265.00\n",
- "| | |--- Ludnosc_kobiety_w_wieku_produkcyjnym_mobilnym <= 32794.00\n",
- "| | | |--- Turysci_ogolem <= 6009.50\n",
- "| | | | |--- Ludnosc_kobiety_w_wieku_poprodukcyjnym <= 6520.50\n",
- "| | | | | |--- Turysci_ogolem <= 3.00\n",
- "| | | | | | |--- Ludnosc_kobiety_w_wieku_produkcyjnym_mobilnym <= 2868.00\n",
- "| | | | | | | |--- Dochody_podatek_lesny <= 5.00\n",
- "| | | | | | | | |--- Dochody_podatek_rolny <= 2018743.00\n",
- "| | | | | | | | | |--- Wynagrodzenie_ogolem <= 3946.51\n",
- "| | | | | | | | | | |--- Saldo_migracji_na_1000_ludnosci <= -0.95\n",
+ "|--- Wplywy_z_oplaty_eksploatacyjnej <= -7751.83\n",
+ "| |--- value: [132625880.92]\n",
+ "|--- Wplywy_z_oplaty_eksploatacyjnej > -7751.83\n",
+ "| |--- Wplywy_z_oplaty_skarbowej <= 4494.45\n",
+ "| | |--- Wymeldowania_ogolem <= 56.50\n",
+ "| | | |--- Ludnosc_ogolem <= 3786.50\n",
+ "| | | | |--- Wplywy_z_oplaty_skarbowej <= 3336.50\n",
+ "| | | | | |--- Dochody_podatek_rolny <= 52241.90\n",
+ "| | | | | | |--- value: [223720.88]\n",
+ "| | | | | |--- Dochody_podatek_rolny > 52241.90\n",
+ "| | | | | | |--- Zameldowania_z_miast_ogolem <= 5.50\n",
+ "| | | | | | | |--- value: [146790.02]\n",
+ "| | | | | | |--- Zameldowania_z_miast_ogolem > 5.50\n",
+ "| | | | | | | |--- value: [147649.40]\n",
+ "| | | | |--- Wplywy_z_oplaty_skarbowej > 3336.50\n",
+ "| | | | | |--- Wymeldowania_do_miast_mezczyzni <= 4.00\n",
+ "| | | | | | |--- value: [4988446.69]\n",
+ "| | | | | |--- Wymeldowania_do_miast_mezczyzni > 4.00\n",
+ "| | | | | | |--- Dochody_z_najmu_i_dzierzawy <= 47510.35\n",
+ "| | | | | | | |--- value: [8029322.26]\n",
+ "| | | | | | |--- Dochody_z_najmu_i_dzierzawy > 47510.35\n",
+ "| | | | | | | |--- value: [7792324.25]\n",
+ "| | | |--- Ludnosc_ogolem > 3786.50\n",
+ "| | | | |--- value: [35264017.53]\n",
+ "| | |--- Wymeldowania_ogolem > 56.50\n",
+ "| | | |--- value: [106444841.13]\n",
+ "| |--- Wplywy_z_oplaty_skarbowej > 4494.45\n",
+ "| | |--- Wplywy_z_oplaty_skarbowej <= 12330.00\n",
+ "| | | |--- Dochody_podatek_od_dzialalnosci_gospodarczej <= -156.50\n",
+ "| | | | |--- value: [64551082.93]\n",
+ "| | | |--- Dochody_podatek_od_dzialalnosci_gospodarczej > -156.50\n",
+ "| | | | |--- Dochody_podatek_lesny <= 1523.00\n",
+ "| | | | | |--- Ludnosc_kobiety_w_wieku_produkcyjnym_niemobilnym <= 393.00\n",
+ "| | | | | | |--- value: [50040444.36]\n",
+ "| | | | | |--- Ludnosc_kobiety_w_wieku_produkcyjnym_niemobilnym > 393.00\n",
+ "| | | | | | |--- value: [593983.01]\n",
+ "| | | | |--- Dochody_podatek_lesny > 1523.00\n",
+ "| | | | | |--- Dochody_podatek_PCC <= 206681.93\n",
+ "| | | | | | |--- Bezrobotni_mezczyzni <= 112.00\n",
+ "| | | | | | | |--- Wplywy_z_oplaty_targowej <= 1527.50\n",
+ "| | | | | | | | |--- Zameldowania_z_miast_ogolem <= 26.50\n",
+ "| | | | | | | | | |--- Zameldowania_mezczyzni <= 6.00\n",
+ "| | | | | | | | | | |--- Zameldowania_kobiety <= 6.00\n",
+ "| | | | | | | | | | | |--- value: [1029930.53]\n",
+ "| | | | | | | | | | |--- Zameldowania_kobiety > 6.00\n",
+ "| | | | | | | | | | | |--- value: [1142691.81]\n",
+ "| | | | | | | | | |--- Zameldowania_mezczyzni > 6.00\n",
+ "| | | | | | | | | | |--- Dochody_podatek_lesny <= 8673.77\n",
+ "| | | | | | | | | | | |--- value: [1080165.70]\n",
+ "| | | | | | | | | | |--- Dochody_podatek_lesny > 8673.77\n",
+ "| | | | | | | | | | | |--- truncated branch of depth 11\n",
+ "| | | | | | | | |--- Zameldowania_z_miast_ogolem > 26.50\n",
+ "| | | | | | | | | |--- Wymeldowania_mezczyzni <= 27.50\n",
+ "| | | | | | | | | | |--- Dochody_podatek_od_srodkow_transportowych <= 144168.41\n",
"| | | | | | | | | | | |--- truncated branch of depth 3\n",
- "| | | | | | | | | | |--- Saldo_migracji_na_1000_ludnosci > -0.95\n",
+ "| | | | | | | | | | |--- Dochody_podatek_od_srodkow_transportowych > 144168.41\n",
+ "| | | | | | | | | | | |--- value: [3266211.60]\n",
+ "| | | | | | | | | |--- Wymeldowania_mezczyzni > 27.50\n",
+ "| | | | | | | | | | |--- Wymeldowania_na_wies_ogolem <= 34.50\n",
"| | | | | | | | | | | |--- truncated branch of depth 4\n",
- "| | | | | | | | | |--- Wynagrodzenie_ogolem > 3946.51\n",
- "| | | | | | | | | | |--- Ludnosc_na_1_km2 <= 2311.40\n",
- "| | | | | | | | | | | |--- truncated branch of depth 7\n",
- "| | | | | | | | | | |--- Ludnosc_na_1_km2 > 2311.40\n",
- "| | | | | | | | | | | |--- value: [4604400.65]\n",
- "| | | | | | | | |--- Dochody_podatek_rolny > 2018743.00\n",
- "| | | | | | | | | |--- value: [481929545.58]\n",
- "| | | | | | | |--- Dochody_podatek_lesny > 5.00\n",
- "| | | | | | | | |--- Wynagrodzenie_w_relacji_do_sredniej <= 167.35\n",
- "| | | | | | | | | |--- Wplywy_z_oplaty_targowej <= 1425012.25\n",
- "| | | | | | | | | | |--- Wynagrodzenie_ogolem <= 3648.14\n",
- "| | | | | | | | | | | |--- truncated branch of depth 40\n",
- "| | | | | | | | | | |--- Wynagrodzenie_ogolem > 3648.14\n",
- "| | | | | | | | | | | |--- truncated branch of depth 52\n",
- "| | | | | | | | | |--- Wplywy_z_oplaty_targowej > 1425012.25\n",
- "| | | | | | | | | | |--- Wojewodztwo_Lodzkie <= 0.50\n",
- "| | | | | | | | | | | |--- value: [83037656.42]\n",
- "| | | | | | | | | | |--- Wojewodztwo_Lodzkie > 0.50\n",
- "| | | | | | | | | | | |--- value: [6196535.59]\n",
- "| | | | | | | | |--- Wynagrodzenie_w_relacji_do_sredniej > 167.35\n",
- "| | | | | | | | | |--- Udzialy_w_podatkach_dochodowych_razem <= 6796306.25\n",
- "| | | | | | | | | | |--- value: [89747833.80]\n",
- "| | | | | | | | | |--- Udzialy_w_podatkach_dochodowych_razem > 6796306.25\n",
- "| | | | | | | | | | |--- value: [18873808.95]\n",
- "| | | | | | |--- Ludnosc_kobiety_w_wieku_produkcyjnym_mobilnym > 2868.00\n",
- "| | | | | | | |--- Dochody_z_majatku <= 29869035.00\n",
- "| | | | | | | | |--- Dochody_podatek_rolny <= 3991218.50\n",
- "| | | | | | | | | |--- Ludnosc_kobiety_w_wieku_produkcyjnym_mobilnym <= 2871.50\n",
- "| | | | | | | | | | |--- Zmiana_liczby_ludnosci <= 4.50\n",
+ "| | | | | | | | | | |--- Wymeldowania_na_wies_ogolem > 34.50\n",
+ "| | | | | | | | | | | |--- value: [886572.54]\n",
+ "| | | | | | | |--- Wplywy_z_oplaty_targowej > 1527.50\n",
+ "| | | | | | | | |--- Dochody_dofinansowanie_inwestycyjne <= 500.00\n",
+ "| | | | | | | | | |--- Ludnosc_ogolem <= 3521.00\n",
+ "| | | | | | | | | | |--- Wplywy_z_oplaty_targowej <= 9416.50\n",
+ "| | | | | | | | | | | |--- value: [2852332.52]\n",
+ "| | | | | | | | | | |--- Wplywy_z_oplaty_targowej > 9416.50\n",
+ "| | | | | | | | | | | |--- value: [2869988.58]\n",
+ "| | | | | | | | | |--- Ludnosc_ogolem > 3521.00\n",
+ "| | | | | | | | | | |--- Dochody_podatek_od_spadkow <= 6173.00\n",
+ "| | | | | | | | | | | |--- value: [4041277.35]\n",
+ "| | | | | | | | | | |--- Dochody_podatek_od_spadkow > 6173.00\n",
+ "| | | | | | | | | | | |--- truncated branch of depth 2\n",
+ "| | | | | | | | |--- Dochody_dofinansowanie_inwestycyjne > 500.00\n",
+ "| | | | | | | | | |--- Zameldowania_ze_wsi_mezczyzni <= 11.00\n",
+ "| | | | | | | | | | |--- Dochody_z_uslug <= 254898.80\n",
+ "| | | | | | | | | | | |--- truncated branch of depth 2\n",
+ "| | | | | | | | | | |--- Dochody_z_uslug > 254898.80\n",
"| | | | | | | | | | | |--- truncated branch of depth 4\n",
- "| | | | | | | | | | |--- Zmiana_liczby_ludnosci > 4.50\n",
- "| | | | | | | | | | | |--- truncated branch of depth 2\n",
- "| | | | | | | | | |--- Ludnosc_kobiety_w_wieku_produkcyjnym_mobilnym > 2871.50\n",
- "| | | | | | | | | | |--- Gestosc_zaludnienia <= 0.23\n",
- "| | | | | | | | | | | |--- truncated branch of depth 36\n",
- "| | | | | | | | | | |--- Gestosc_zaludnienia > 0.23\n",
- "| | | | | | | | | | | |--- truncated branch of depth 39\n",
- "| | | | | | | | |--- Dochody_podatek_rolny > 3991218.50\n",
- "| | | | | | | | | |--- Ludnosc_mezczyzni_w_wieku_przedprodukcyjnym <= 1809.00\n",
- "| | | | | | | | | | |--- Ludnosc_kobiety_w_wieku_produkcyjnym <= 5795.00\n",
- "| | | | | | | | | | | |--- value: [4470689.32]\n",
- "| | | | | | | | | | |--- Ludnosc_kobiety_w_wieku_produkcyjnym > 5795.00\n",
- "| | | | | | | | | | | |--- value: [13232.57]\n",
- "| | | | | | | | | |--- Ludnosc_mezczyzni_w_wieku_przedprodukcyjnym > 1809.00\n",
- "| | | | | | | | | | |--- value: [164709707.63]\n",
- "| | | | | | | |--- Dochody_z_majatku > 29869035.00\n",
- "| | | | | | | | |--- Wojewodztwo_Podkarpackie <= 0.50\n",
- "| | | | | | | | | |--- Dochody_podatek_PCC <= 4539613.88\n",
- "| | | | | | | | | | |--- Ludnosc_kobiety <= 13425.00\n",
- "| | | | | | | | | | | |--- value: [11622668.77]\n",
- "| | | | | | | | | | |--- Ludnosc_kobiety > 13425.00\n",
- "| | | | | | | | | | | |--- truncated branch of depth 2\n",
- "| | | | | | | | | |--- Dochody_podatek_PCC > 4539613.88\n",
- "| | | | | | | | | | |--- value: [29177611.36]\n",
- "| | | | | | | | |--- Wojewodztwo_Podkarpackie > 0.50\n",
- "| | | | | | | | | |--- Wymeldowania_do_miast_mezczyzni <= 57.00\n",
- "| | | | | | | | | | |--- value: [119972268.58]\n",
- "| | | | | | | | | |--- Wymeldowania_do_miast_mezczyzni > 57.00\n",
- "| | | | | | | | | | |--- value: [93902447.15]\n",
- "| | | | | |--- Turysci_ogolem > 3.00\n",
- "| | | | | | |--- Wymeldowania_na_wies_ogolem <= 13.50\n",
- "| | | | | | | |--- Ludnosc_na_1_km2 <= 73.45\n",
- "| | | | | | | | |--- Turysci_ogolem <= 60.00\n",
- "| | | | | | | | | |--- value: [160629826.38]\n",
- "| | | | | | | | |--- Turysci_ogolem > 60.00\n",
- "| | | | | | | | | |--- Ludnosc_kobiety_w_wieku_przedprodukcyjnym <= 425.00\n",
- "| | | | | | | | | | |--- value: [171383125.19]\n",
- "| | | | | | | | | |--- Ludnosc_kobiety_w_wieku_przedprodukcyjnym > 425.00\n",
- "| | | | | | | | | | |--- value: [171383125.19]\n",
- "| | | | | | | |--- Ludnosc_na_1_km2 > 73.45\n",
- "| | | | | | | | |--- value: [386451.19]\n",
- "| | | | | | |--- Wymeldowania_na_wies_ogolem > 13.50\n",
- "| | | | | | | |--- Wynagrodzenie_ogolem <= 2697.03\n",
- "| | | | | | | | |--- value: [118036329.69]\n",
- "| | | | | | | |--- Wynagrodzenie_ogolem > 2697.03\n",
- "| | | | | | | | |--- Wymeldowania_na_wies_ogolem <= 19.50\n",
- "| | | | | | | | | |--- Dochody_podatek_od_srodkow_transportowych <= 93764.41\n",
- "| | | | | | | | | | |--- Dochody_podatek_od_spadkow <= 25398.50\n",
- "| | | | | | | | | | | |--- truncated branch of depth 2\n",
- "| | | | | | | | | | |--- Dochody_podatek_od_spadkow > 25398.50\n",
- "| | | | | | | | | | | |--- value: [29271376.16]\n",
- "| | | | | | | | | |--- Dochody_podatek_od_srodkow_transportowych > 93764.41\n",
- "| | | | | | | | | | |--- Dochody_dofinansowanie_inwestycyjne <= 29700.00\n",
- "| | | | | | | | | | | |--- truncated branch of depth 2\n",
- "| | | | | | | | | | |--- Dochody_dofinansowanie_inwestycyjne > 29700.00\n",
- "| | | | | | | | | | | |--- truncated branch of depth 2\n",
- "| | | | | | | | |--- Wymeldowania_na_wies_ogolem > 19.50\n",
- "| | | | | | | | | |--- Dlugotrwale_bezrobotni <= 1395.25\n",
- "| | | | | | | | | | |--- Wojewodztwo_Opolskie <= 0.50\n",
- "| | | | | | | | | | | |--- truncated branch of depth 20\n",
- "| | | | | | | | | | |--- Wojewodztwo_Opolskie > 0.50\n",
+ "| | | | | | | | | |--- Zameldowania_ze_wsi_mezczyzni > 11.00\n",
+ "| | | | | | | | | | |--- Wymeldowania_na_wies_ogolem <= 21.00\n",
+ "| | | | | | | | | | | |--- value: [3043529.06]\n",
+ "| | | | | | | | | | |--- Wymeldowania_na_wies_ogolem > 21.00\n",
+ "| | | | | | | | | | | |--- value: [1660371.13]\n",
+ "| | | | | | |--- Bezrobotni_mezczyzni > 112.00\n",
+ "| | | | | | | |--- Dochody_podatek_od_srodkow_transportowych <= 112158.71\n",
+ "| | | | | | | | |--- Zameldowania_z_miast_kobiety <= 29.50\n",
+ "| | | | | | | | | |--- Wymeldowania_na_wies_mezczyzni <= 11.50\n",
+ "| | | | | | | | | | |--- Udzialy_w_podatkach_dochodowych_razem <= 2784626.12\n",
"| | | | | | | | | | | |--- truncated branch of depth 5\n",
- "| | | | | | | | | |--- Dlugotrwale_bezrobotni > 1395.25\n",
- "| | | | | | | | | | |--- Ludnosc_kobiety_w_wieku_przedprodukcyjnym <= 3088.50\n",
- "| | | | | | | | | | | |--- value: [150089223.44]\n",
- "| | | | | | | | | | |--- Ludnosc_kobiety_w_wieku_przedprodukcyjnym > 3088.50\n",
- "| | | | | | | | | | | |--- value: [2311554.06]\n",
- "| | | | |--- Ludnosc_kobiety_w_wieku_poprodukcyjnym > 6520.50\n",
- "| | | | | |--- Ludnosc_mezczyzni_w_wieku_przedprodukcyjnym <= 2975.00\n",
- "| | | | | | |--- Ludnosc_w_wieku_przedprodukcyjnym <= 5223.50\n",
- "| | | | | | | |--- Zmiana_liczby_ludnosci <= -10.75\n",
- "| | | | | | | | |--- Wymeldowania_na_wies_kobiety <= 46.50\n",
- "| | | | | | | | | |--- value: [8812724.45]\n",
- "| | | | | | | | |--- Wymeldowania_na_wies_kobiety > 46.50\n",
- "| | | | | | | | | |--- Dochody_razem <= 235494656.00\n",
- "| | | | | | | | | | |--- value: [1078443.09]\n",
- "| | | | | | | | | |--- Dochody_razem > 235494656.00\n",
- "| | | | | | | | | | |--- value: [4704073.28]\n",
- "| | | | | | | |--- Zmiana_liczby_ludnosci > -10.75\n",
- "| | | | | | | | |--- Wynagrodzenie_w_relacji_do_sredniej <= 118.00\n",
- "| | | | | | | | | |--- value: [58310839.60]\n",
- "| | | | | | | | |--- Wynagrodzenie_w_relacji_do_sredniej > 118.00\n",
- "| | | | | | | | | |--- value: [33777678.29]\n",
- "| | | | | | |--- Ludnosc_w_wieku_przedprodukcyjnym > 5223.50\n",
- "| | | | | | | |--- value: [467956789.99]\n",
- "| | | | | |--- Ludnosc_mezczyzni_w_wieku_przedprodukcyjnym > 2975.00\n",
- "| | | | | | |--- Dochody_dofinansowanie_inwestycyjne <= 45246016.00\n",
- "| | | | | | | |--- Ludnosc_mezczyzni_w_wieku_produkcyjnym_mobilnym <= 21738.50\n",
- "| | | | | | | | |--- Wynagrodzenie_ogolem <= 3167.90\n",
- "| | | | | | | | | |--- Powierzchnia <= 24.00\n",
- "| | | | | | | | | | |--- value: [135056683.01]\n",
- "| | | | | | | | | |--- Powierzchnia > 24.00\n",
- "| | | | | | | | | | |--- value: [75231116.98]\n",
- "| | | | | | | | |--- Wynagrodzenie_ogolem > 3167.90\n",
- "| | | | | | | | | |--- Wynagrodzenie_ogolem <= 4982.40\n",
- "| | | | | | | | | | |--- Wplywy_z_innych_lokalnych_oplat <= 260.68\n",
+ "| | | | | | | | | | |--- Udzialy_w_podatkach_dochodowych_razem > 2784626.12\n",
+ "| | | | | | | | | | | |--- value: [1011703.86]\n",
+ "| | | | | | | | | |--- Wymeldowania_na_wies_mezczyzni > 11.50\n",
+ "| | | | | | | | | | |--- Zameldowania_z_miast_ogolem <= 19.00\n",
+ "| | | | | | | | | | | |--- truncated branch of depth 3\n",
+ "| | | | | | | | | | |--- Zameldowania_z_miast_ogolem > 19.00\n",
+ "| | | | | | | | | | | |--- value: [5361057.90]\n",
+ "| | | | | | | | |--- Zameldowania_z_miast_kobiety > 29.50\n",
+ "| | | | | | | | | |--- value: [17138312.52]\n",
+ "| | | | | | | |--- Dochody_podatek_od_srodkow_transportowych > 112158.71\n",
+ "| | | | | | | | |--- Udzialy_w_podatkach_dochodowych_od_osob_fizycznych <= 2183203.00\n",
+ "| | | | | | | | | |--- Ludnosc_kobiety_w_wieku_produkcyjnym <= 1325.50\n",
+ "| | | | | | | | | | |--- value: [16479146.65]\n",
+ "| | | | | | | | | |--- Ludnosc_kobiety_w_wieku_produkcyjnym > 1325.50\n",
+ "| | | | | | | | | | |--- Udzialy_w_podatkach_dochodowych_razem <= 1710148.12\n",
"| | | | | | | | | | | |--- truncated branch of depth 2\n",
- "| | | | | | | | | | |--- Wplywy_z_innych_lokalnych_oplat > 260.68\n",
- "| | | | | | | | | | | |--- truncated branch of depth 29\n",
- "| | | | | | | | | |--- Wynagrodzenie_ogolem > 4982.40\n",
- "| | | | | | | | | | |--- Zameldowania_z_miast_kobiety <= 39.50\n",
+ "| | | | | | | | | | |--- Udzialy_w_podatkach_dochodowych_razem > 1710148.12\n",
+ "| | | | | | | | | | | |--- value: [19699871.32]\n",
+ "| | | | | | | | |--- Udzialy_w_podatkach_dochodowych_od_osob_fizycznych > 2183203.00\n",
+ "| | | | | | | | | |--- Ludnosc_kobiety <= 3141.00\n",
+ "| | | | | | | | | | |--- value: [5923600.26]\n",
+ "| | | | | | | | | |--- Ludnosc_kobiety > 3141.00\n",
+ "| | | | | | | | | | |--- value: [6925131.43]\n",
+ "| | | | | |--- Dochody_podatek_PCC > 206681.93\n",
+ "| | | | | | |--- Bezrobotne_kobiety <= 57.00\n",
+ "| | | | | | | |--- value: [22537878.79]\n",
+ "| | | | | | |--- Bezrobotne_kobiety > 57.00\n",
+ "| | | | | | | |--- value: [24414621.52]\n",
+ "| | |--- Wplywy_z_oplaty_skarbowej > 12330.00\n",
+ "| | | |--- Wymeldowania_na_wies_mezczyzni <= 20.50\n",
+ "| | | | |--- Dochody_podatek_lesny <= 15.00\n",
+ "| | | | | |--- Dochody_dofinansowanie_razem <= 257331.97\n",
+ "| | | | | | |--- value: [3008745.87]\n",
+ "| | | | | |--- Dochody_dofinansowanie_razem > 257331.97\n",
+ "| | | | | | |--- value: [70149861.07]\n",
+ "| | | | |--- Dochody_podatek_lesny > 15.00\n",
+ "| | | | | |--- Turysci_zagraniczni <= 3835.00\n",
+ "| | | | | | |--- Wplywy_z_oplaty_targowej <= 1021444.50\n",
+ "| | | | | | | |--- Wojewodztwo_Opolskie <= 0.50\n",
+ "| | | | | | | | |--- Turysci_zagraniczni <= 620.50\n",
+ "| | | | | | | | | |--- Dochody_z_najmu_i_dzierzawy <= 60187.61\n",
+ "| | | | | | | | | | |--- Dochody_z_najmu_i_dzierzawy <= 59932.48\n",
+ "| | | | | | | | | | | |--- truncated branch of depth 16\n",
+ "| | | | | | | | | | |--- Dochody_z_najmu_i_dzierzawy > 59932.48\n",
+ "| | | | | | | | | | | |--- value: [23878760.16]\n",
+ "| | | | | | | | | |--- Dochody_z_najmu_i_dzierzawy > 60187.61\n",
+ "| | | | | | | | | | |--- Wynagrodzenie_ogolem <= 6881.45\n",
+ "| | | | | | | | | | | |--- truncated branch of depth 31\n",
+ "| | | | | | | | | | |--- Wynagrodzenie_ogolem > 6881.45\n",
"| | | | | | | | | | | |--- truncated branch of depth 2\n",
- "| | | | | | | | | | |--- Zameldowania_z_miast_kobiety > 39.50\n",
+ "| | | | | | | | |--- Turysci_zagraniczni > 620.50\n",
+ "| | | | | | | | | |--- Dochody_podatek_rolny <= 1169820.38\n",
+ "| | | | | | | | | | |--- Wojewodztwo_Lubelskie <= 0.50\n",
+ "| | | | | | | | | | | |--- truncated branch of depth 7\n",
+ "| | | | | | | | | | |--- Wojewodztwo_Lubelskie > 0.50\n",
+ "| | | | | | | | | | | |--- value: [10510654.58]\n",
+ "| | | | | | | | | |--- Dochody_podatek_rolny > 1169820.38\n",
+ "| | | | | | | | | | |--- Ludnosc_w_wieku_produkcyjnym <= 7303.50\n",
+ "| | | | | | | | | | | |--- value: [16143701.14]\n",
+ "| | | | | | | | | | |--- Ludnosc_w_wieku_produkcyjnym > 7303.50\n",
+ "| | | | | | | | | | | |--- value: [9428912.87]\n",
+ "| | | | | | | |--- Wojewodztwo_Opolskie > 0.50\n",
+ "| | | | | | | | |--- Gestosc_zaludnienia <= 0.04\n",
+ "| | | | | | | | | |--- value: [29647883.87]\n",
+ "| | | | | | | | |--- Gestosc_zaludnienia > 0.04\n",
+ "| | | | | | | | | |--- Dochody_podatek_od_spadkow <= 66477.52\n",
+ "| | | | | | | | | | |--- Dochody_podatek_od_dzialalnosci_gospodarczej <= 19548.15\n",
+ "| | | | | | | | | | | |--- truncated branch of depth 5\n",
+ "| | | | | | | | | | |--- Dochody_podatek_od_dzialalnosci_gospodarczej > 19548.15\n",
+ "| | | | | | | | | | | |--- truncated branch of depth 3\n",
+ "| | | | | | | | | |--- Dochody_podatek_od_spadkow > 66477.52\n",
+ "| | | | | | | | | | |--- value: [11839160.68]\n",
+ "| | | | | | |--- Wplywy_z_oplaty_targowej > 1021444.50\n",
+ "| | | | | | | |--- value: [16775284.13]\n",
+ "| | | | | |--- Turysci_zagraniczni > 3835.00\n",
+ "| | | | | | |--- Ludnosc_kobiety_w_wieku_produkcyjnym_mobilnym <= 2067.50\n",
+ "| | | | | | | |--- Ludnosc_w_wieku_poprodukcyjnym <= 1294.00\n",
+ "| | | | | | | | |--- Dochody_podatek_od_srodkow_transportowych <= 350567.75\n",
+ "| | | | | | | | | |--- Dochody_podatek_od_nieruchomosci <= 10820965.50\n",
+ "| | | | | | | | | | |--- Wymeldowania_na_wies_ogolem <= 22.50\n",
+ "| | | | | | | | | | | |--- truncated branch of depth 3\n",
+ "| | | | | | | | | | |--- Wymeldowania_na_wies_ogolem > 22.50\n",
+ "| | | | | | | | | | | |--- value: [5838.01]\n",
+ "| | | | | | | | | |--- Dochody_podatek_od_nieruchomosci > 10820965.50\n",
+ "| | | | | | | | | | |--- value: [523333.48]\n",
+ "| | | | | | | | |--- Dochody_podatek_od_srodkow_transportowych > 350567.75\n",
+ "| | | | | | | | | |--- value: [3219570.01]\n",
+ "| | | | | | | |--- Ludnosc_w_wieku_poprodukcyjnym > 1294.00\n",
+ "| | | | | | | | |--- Bezrobotni_ogolem <= 326.25\n",
+ "| | | | | | | | | |--- value: [9680488.61]\n",
+ "| | | | | | | | |--- Bezrobotni_ogolem > 326.25\n",
+ "| | | | | | | | | |--- value: [6533125.31]\n",
+ "| | | | | | |--- Ludnosc_kobiety_w_wieku_produkcyjnym_mobilnym > 2067.50\n",
+ "| | | | | | | |--- value: [68031871.39]\n",
+ "| | | |--- Wymeldowania_na_wies_mezczyzni > 20.50\n",
+ "| | | | |--- Dochody_podatek_rolny <= 3939909.12\n",
+ "| | | | | |--- Turysci_zagraniczni <= 14.50\n",
+ "| | | | | | |--- Dochody_podatek_od_srodkow_transportowych <= 510970.09\n",
+ "| | | | | | | |--- Dochody_podatek_od_dzialalnosci_gospodarczej <= 574395.34\n",
+ "| | | | | | | | |--- Bezrobotni_do_25_roku_zycia <= 287.25\n",
+ "| | | | | | | | | |--- Wynagrodzenie_ogolem <= 4332.75\n",
+ "| | | | | | | | | | |--- Wynagrodzenie_w_relacji_do_sredniej <= 97.90\n",
+ "| | | | | | | | | | | |--- truncated branch of depth 27\n",
+ "| | | | | | | | | | |--- Wynagrodzenie_w_relacji_do_sredniej > 97.90\n",
+ "| | | | | | | | | | | |--- truncated branch of depth 3\n",
+ "| | | | | | | | | |--- Wynagrodzenie_ogolem > 4332.75\n",
+ "| | | | | | | | | | |--- Udzialy_w_podatkach_dochodowych_od_osob_prywatnych <= 1913257.88\n",
+ "| | | | | | | | | | | |--- truncated branch of depth 23\n",
+ "| | | | | | | | | | |--- Udzialy_w_podatkach_dochodowych_od_osob_prywatnych > 1913257.88\n",
+ "| | | | | | | | | | | |--- truncated branch of depth 7\n",
+ "| | | | | | | | |--- Bezrobotni_do_25_roku_zycia > 287.25\n",
+ "| | | | | | | | | |--- value: [4226674.84]\n",
+ "| | | | | | | |--- Dochody_podatek_od_dzialalnosci_gospodarczej > 574395.34\n",
+ "| | | | | | | | |--- value: [11386418.96]\n",
+ "| | | | | | |--- Dochody_podatek_od_srodkow_transportowych > 510970.09\n",
+ "| | | | | | | |--- Wplywy_z_innych_lokalnych_oplat <= 4156267.12\n",
+ "| | | | | | | | |--- Wplywy_z_innych_lokalnych_oplat <= 4121841.12\n",
+ "| | | | | | | | | |--- Wynagrodzenie_w_relacji_do_sredniej <= 111.65\n",
+ "| | | | | | | | | | |--- Ludnosc_na_1_km2 <= 233.25\n",
+ "| | | | | | | | | | | |--- truncated branch of depth 21\n",
+ "| | | | | | | | | | |--- Ludnosc_na_1_km2 > 233.25\n",
"| | | | | | | | | | | |--- truncated branch of depth 17\n",
- "| | | | | | | |--- Ludnosc_mezczyzni_w_wieku_produkcyjnym_mobilnym > 21738.50\n",
- "| | | | | | | | |--- Wplywy_z_oplaty_eksploatacyjnej <= 861942.31\n",
- "| | | | | | | | | |--- Udzialy_w_podatkach_dochodowych_od_osob_fizycznych <= 355838512.00\n",
- "| | | | | | | | | | |--- Udzialy_w_podatkach_dochodowych_od_osob_fizycznych <= 131902492.00\n",
+ "| | | | | | | | | |--- Wynagrodzenie_w_relacji_do_sredniej > 111.65\n",
+ "| | | | | | | | | | |--- Bezrobotni_ogolem <= 485.50\n",
+ "| | | | | | | | | | | |--- value: [3730137.10]\n",
+ "| | | | | | | | | | |--- Bezrobotni_ogolem > 485.50\n",
+ "| | | | | | | | | | | |--- value: [307553.43]\n",
+ "| | | | | | | | |--- Wplywy_z_innych_lokalnych_oplat > 4121841.12\n",
+ "| | | | | | | | | |--- Wplywy_z_oplaty_eksploatacyjnej <= 14062.80\n",
+ "| | | | | | | | | | |--- value: [4671836.69]\n",
+ "| | | | | | | | | |--- Wplywy_z_oplaty_eksploatacyjnej > 14062.80\n",
+ "| | | | | | | | | | |--- value: [863032.31]\n",
+ "| | | | | | | |--- Wplywy_z_innych_lokalnych_oplat > 4156267.12\n",
+ "| | | | | | | | |--- Gestosc_zaludnienia <= 3.88\n",
+ "| | | | | | | | | |--- Wynagrodzenie_ogolem <= 3962.87\n",
+ "| | | | | | | | | | |--- Wskaznik_urbanizacji <= 45.15\n",
"| | | | | | | | | | | |--- truncated branch of depth 3\n",
- "| | | | | | | | | | |--- Udzialy_w_podatkach_dochodowych_od_osob_fizycznych > 131902492.00\n",
- "| | | | | | | | | | | |--- truncated branch of depth 14\n",
- "| | | | | | | | | |--- Udzialy_w_podatkach_dochodowych_od_osob_fizycznych > 355838512.00\n",
- "| | | | | | | | | | |--- value: [132180510.14]\n",
- "| | | | | | | | |--- Wplywy_z_oplaty_eksploatacyjnej > 861942.31\n",
- "| | | | | | | | | |--- value: [147872438.55]\n",
- "| | | | | | |--- Dochody_dofinansowanie_inwestycyjne > 45246016.00\n",
- "| | | | | | | |--- value: [183812381.68]\n",
- "| | | |--- Turysci_ogolem > 6009.50\n",
- "| | | | |--- Turysci_ogolem <= 6055.00\n",
- "| | | | | |--- Ludnosc <= 15.54\n",
- "| | | | | | |--- value: [350203527.33]\n",
- "| | | | | |--- Ludnosc > 15.54\n",
- "| | | | | | |--- value: [374147379.96]\n",
- "| | | | |--- Turysci_ogolem > 6055.00\n",
- "| | | | | |--- Zmiana_liczby_ludnosci <= 23.40\n",
- "| | | | | | |--- Wplywy_z_oplaty_eksploatacyjnej <= 157595.28\n",
- "| | | | | | | |--- Ludnosc_mezczyzni <= 51898.50\n",
- "| | | | | | | | |--- Dochody_z_majatku <= 84208.02\n",
- "| | | | | | | | | |--- value: [122764445.52]\n",
- "| | | | | | | | |--- Dochody_z_majatku > 84208.02\n",
- "| | | | | | | | | |--- Powierzchnia <= 14.50\n",
- "| | | | | | | | | | |--- Obiekty_ogolem <= 7.50\n",
- "| | | | | | | | | | | |--- truncated branch of depth 6\n",
- "| | | | | | | | | | |--- Obiekty_ogolem > 7.50\n",
- "| | | | | | | | | | | |--- value: [286243234.59]\n",
- "| | | | | | | | | |--- Powierzchnia > 14.50\n",
- "| | | | | | | | | | |--- Wojewodztwo_Lubuskie <= 0.50\n",
- "| | | | | | | | | | | |--- truncated branch of depth 20\n",
- "| | | | | | | | | | |--- Wojewodztwo_Lubuskie > 0.50\n",
- "| | | | | | | | | | | |--- truncated branch of depth 3\n",
- "| | | | | | | |--- Ludnosc_mezczyzni > 51898.50\n",
- "| | | | | | | | |--- Dochody_podatek_od_dzialalnosci_gospodarczej <= 197814.20\n",
- "| | | | | | | | | |--- Miejsca_noclegowe_ogolem <= 596.00\n",
- "| | | | | | | | | | |--- value: [6639219.07]\n",
- "| | | | | | | | | |--- Miejsca_noclegowe_ogolem > 596.00\n",
- "| | | | | | | | | | |--- value: [58823370.96]\n",
- "| | | | | | | | |--- Dochody_podatek_od_dzialalnosci_gospodarczej > 197814.20\n",
- "| | | | | | | | | |--- Bezrobotni_mezczyzni <= 1910.25\n",
- "| | | | | | | | | | |--- Ludnosc_w_wieku_produkcyjnym_niemobilnym <= 33678.00\n",
+ "| | | | | | | | | | |--- Wskaznik_urbanizacji > 45.15\n",
+ "| | | | | | | | | | | |--- truncated branch of depth 22\n",
+ "| | | | | | | | | |--- Wynagrodzenie_ogolem > 3962.87\n",
+ "| | | | | | | | | | |--- Wplywy_z_oplaty_eksploatacyjnej <= 5666409.75\n",
+ "| | | | | | | | | | | |--- truncated branch of depth 22\n",
+ "| | | | | | | | | | |--- Wplywy_z_oplaty_eksploatacyjnej > 5666409.75\n",
+ "| | | | | | | | | | | |--- value: [1478204.01]\n",
+ "| | | | | | | | |--- Gestosc_zaludnienia > 3.88\n",
+ "| | | | | | | | | |--- value: [2622969.18]\n",
+ "| | | | | |--- Turysci_zagraniczni > 14.50\n",
+ "| | | | | | |--- Udzialy_w_podatkach_dochodowych_od_osob_prywatnych <= 115357.00\n",
+ "| | | | | | | |--- Bezrobotni_do_25_roku_zycia <= 231.75\n",
+ "| | | | | | | | |--- Dochody_podatek_rolny <= 751889.41\n",
+ "| | | | | | | | | |--- Miejsca_noclegowe_caloroczne <= 26.00\n",
+ "| | | | | | | | | | |--- value: [2137619.22]\n",
+ "| | | | | | | | | |--- Miejsca_noclegowe_caloroczne > 26.00\n",
+ "| | | | | | | | | | |--- Dochody_podatek_od_dzialalnosci_gospodarczej <= 21053.86\n",
"| | | | | | | | | | | |--- truncated branch of depth 2\n",
- "| | | | | | | | | | |--- Ludnosc_w_wieku_produkcyjnym_niemobilnym > 33678.00\n",
- "| | | | | | | | | | | |--- value: [118788666.24]\n",
- "| | | | | | | | | |--- Bezrobotni_mezczyzni > 1910.25\n",
- "| | | | | | | | | | |--- Zameldowania_z_miast_mezczyzni <= 550.00\n",
- "| | | | | | | | | | | |--- truncated branch of depth 2\n",
- "| | | | | | | | | | |--- Zameldowania_z_miast_mezczyzni > 550.00\n",
- "| | | | | | | | | | | |--- value: [91773045.43]\n",
- "| | | | | | |--- Wplywy_z_oplaty_eksploatacyjnej > 157595.28\n",
- "| | | | | | | |--- Dochody_dofinansowanie_inwestycyjne <= 3634991.00\n",
- "| | | | | | | | |--- Dlugotrwale_bezrobotni <= 1539.50\n",
- "| | | | | | | | | |--- Dochody_podatek_od_spadkow <= 234245.18\n",
- "| | | | | | | | | | |--- Wplywy_z_oplaty_targowej <= 1411.50\n",
- "| | | | | | | | | | | |--- value: [87692501.12]\n",
- "| | | | | | | | | | |--- Wplywy_z_oplaty_targowej > 1411.50\n",
- "| | | | | | | | | | | |--- truncated branch of depth 6\n",
- "| | | | | | | | | |--- Dochody_podatek_od_spadkow > 234245.18\n",
- "| | | | | | | | | | |--- Udzialy_w_podatkach_dochodowych_od_osob_fizycznych <= 27334711.00\n",
- "| | | | | | | | | | | |--- value: [158370335.96]\n",
- "| | | | | | | | | | |--- Udzialy_w_podatkach_dochodowych_od_osob_fizycznych > 27334711.00\n",
- "| | | | | | | | | | | |--- truncated branch of depth 2\n",
- "| | | | | | | | |--- Dlugotrwale_bezrobotni > 1539.50\n",
- "| | | | | | | | | |--- Dochody_podatek_lesny <= 23532.44\n",
- "| | | | | | | | | | |--- value: [292699374.69]\n",
- "| | | | | | | | | |--- Dochody_podatek_lesny > 23532.44\n",
- "| | | | | | | | | | |--- value: [279411324.25]\n",
- "| | | | | | | |--- Dochody_dofinansowanie_inwestycyjne > 3634991.00\n",
- "| | | | | | | | |--- value: [675624217.52]\n",
- "| | | | | |--- Zmiana_liczby_ludnosci > 23.40\n",
- "| | | | | | |--- Zameldowania_mezczyzni <= 176.00\n",
- "| | | | | | | |--- value: [819103731.56]\n",
- "| | | | | | |--- Zameldowania_mezczyzni > 176.00\n",
- "| | | | | | | |--- Ludnosc_kobiety_w_wieku_produkcyjnym <= 6849.00\n",
- "| | | | | | | | |--- Ludnosc_w_wieku_przedprodukcyjnym <= 3168.50\n",
- "| | | | | | | | | |--- value: [14511954.52]\n",
- "| | | | | | | | |--- Ludnosc_w_wieku_przedprodukcyjnym > 3168.50\n",
- "| | | | | | | | | |--- value: [9361480.07]\n",
- "| | | | | | | |--- Ludnosc_kobiety_w_wieku_produkcyjnym > 6849.00\n",
- "| | | | | | | | |--- value: [123148.63]\n",
- "| | |--- Ludnosc_kobiety_w_wieku_produkcyjnym_mobilnym > 32794.00\n",
- "| | | |--- Ludnosc_mezczyzni_w_wieku_poprodukcyjnym <= 11830.50\n",
- "| | | | |--- Wymeldowania_do_miast_ogolem <= 657.00\n",
- "| | | | | |--- Ludnosc_na_1_km2 <= 1778.05\n",
- "| | | | | | |--- value: [259959198.51]\n",
- "| | | | | |--- Ludnosc_na_1_km2 > 1778.05\n",
- "| | | | | | |--- value: [123909283.41]\n",
- "| | | | |--- Wymeldowania_do_miast_ogolem > 657.00\n",
- "| | | | | |--- Ludnosc_mezczyzni_w_wieku_produkcyjnym <= 56920.00\n",
- "| | | | | | |--- value: [512361631.15]\n",
- "| | | | | |--- Ludnosc_mezczyzni_w_wieku_produkcyjnym > 56920.00\n",
- "| | | | | | |--- value: [398540337.28]\n",
- "| | | |--- Ludnosc_mezczyzni_w_wieku_poprodukcyjnym > 11830.50\n",
- "| | | | |--- Wplywy_z_oplaty_targowej <= 2084361.06\n",
- "| | | | | |--- Ludnosc_kobiety_w_wieku_produkcyjnym_mobilnym <= 33308.00\n",
- "| | | | | | |--- Zameldowania_kobiety <= 921.00\n",
- "| | | | | | | |--- value: [360347448.51]\n",
- "| | | | | | |--- Zameldowania_kobiety > 921.00\n",
- "| | | | | | | |--- value: [292058544.30]\n",
- "| | | | | |--- Ludnosc_kobiety_w_wieku_produkcyjnym_mobilnym > 33308.00\n",
- "| | | | | | |--- Turysci_zagraniczni <= 5907.00\n",
- "| | | | | | | |--- Dochody_podatek_lesny <= 47997.95\n",
- "| | | | | | | | |--- Dochody_podatek_lesny <= 12500.82\n",
- "| | | | | | | | | |--- value: [165098317.48]\n",
- "| | | | | | | | |--- Dochody_podatek_lesny > 12500.82\n",
- "| | | | | | | | | |--- Dochody_podatek_rolny <= 116828.12\n",
- "| | | | | | | | | | |--- value: [117349953.24]\n",
- "| | | | | | | | | |--- Dochody_podatek_rolny > 116828.12\n",
- "| | | | | | | | | | |--- Udzialy_w_podatkach_dochodowych_od_osob_prywatnych <= 6458233.00\n",
- "| | | | | | | | | | | |--- truncated branch of depth 2\n",
- "| | | | | | | | | | |--- Udzialy_w_podatkach_dochodowych_od_osob_prywatnych > 6458233.00\n",
- "| | | | | | | | | | | |--- truncated branch of depth 8\n",
- "| | | | | | | |--- Dochody_podatek_lesny > 47997.95\n",
- "| | | | | | | | |--- Miejsca_noclegowe_ogolem <= 3446.00\n",
- "| | | | | | | | | |--- Wymeldowania_do_miast_kobiety <= 565.50\n",
- "| | | | | | | | | | |--- Dochody_dofinansowanie_razem <= 4328410.00\n",
- "| | | | | | | | | | | |--- truncated branch of depth 2\n",
- "| | | | | | | | | | |--- Dochody_dofinansowanie_razem > 4328410.00\n",
+ "| | | | | | | | | | |--- Dochody_podatek_od_dzialalnosci_gospodarczej > 21053.86\n",
"| | | | | | | | | | | |--- truncated branch of depth 4\n",
- "| | | | | | | | | |--- Wymeldowania_do_miast_kobiety > 565.50\n",
- "| | | | | | | | | | |--- Bezrobotne_kobiety <= 2300.00\n",
- "| | | | | | | | | | | |--- value: [120567151.23]\n",
- "| | | | | | | | | | |--- Bezrobotne_kobiety > 2300.00\n",
- "| | | | | | | | | | | |--- truncated branch of depth 3\n",
- "| | | | | | | | |--- Miejsca_noclegowe_ogolem > 3446.00\n",
- "| | | | | | | | | |--- Bezrobotni_do_25_roku_zycia <= 275.00\n",
- "| | | | | | | | | | |--- Dochody_razem <= 706544576.00\n",
- "| | | | | | | | | | | |--- value: [34560334.11]\n",
- "| | | | | | | | | | |--- Dochody_razem > 706544576.00\n",
- "| | | | | | | | | | | |--- truncated branch of depth 2\n",
- "| | | | | | | | | |--- Bezrobotni_do_25_roku_zycia > 275.00\n",
- "| | | | | | | | | | |--- Wynagrodzenie_w_relacji_do_sredniej <= 124.85\n",
+ "| | | | | | | | |--- Dochody_podatek_rolny > 751889.41\n",
+ "| | | | | | | | | |--- Wymeldowania_do_miast_ogolem <= 103.00\n",
+ "| | | | | | | | | | |--- value: [6335790.21]\n",
+ "| | | | | | | | | |--- Wymeldowania_do_miast_ogolem > 103.00\n",
+ "| | | | | | | | | | |--- Obiekty_caloroczne <= 1.50\n",
+ "| | | | | | | | | | | |--- value: [3478051.49]\n",
+ "| | | | | | | | | | |--- Obiekty_caloroczne > 1.50\n",
+ "| | | | | | | | | | | |--- value: [2808492.26]\n",
+ "| | | | | | | |--- Bezrobotni_do_25_roku_zycia > 231.75\n",
+ "| | | | | | | | |--- Zameldowania_mezczyzni <= 87.50\n",
+ "| | | | | | | | | |--- value: [9530029.04]\n",
+ "| | | | | | | | |--- Zameldowania_mezczyzni > 87.50\n",
+ "| | | | | | | | | |--- value: [14823699.73]\n",
+ "| | | | | | |--- Udzialy_w_podatkach_dochodowych_od_osob_prywatnych > 115357.00\n",
+ "| | | | | | | |--- Wojewodztwo_Opolskie <= 0.50\n",
+ "| | | | | | | | |--- Dochody_z_uslug <= 4892.30\n",
+ "| | | | | | | | | |--- Wymeldowania_kobiety <= 110.00\n",
+ "| | | | | | | | | | |--- value: [726982.20]\n",
+ "| | | | | | | | | |--- Wymeldowania_kobiety > 110.00\n",
+ "| | | | | | | | | | |--- value: [7756910.77]\n",
+ "| | | | | | | | |--- Dochody_z_uslug > 4892.30\n",
+ "| | | | | | | | | |--- Wynagrodzenie_w_relacji_do_sredniej <= 70.60\n",
+ "| | | | | | | | | | |--- Wskaznik_urbanizacji <= 58.35\n",
+ "| | | | | | | | | | | |--- value: [3473795.48]\n",
+ "| | | | | | | | | | |--- Wskaznik_urbanizacji > 58.35\n",
+ "| | | | | | | | | | | |--- value: [4769144.63]\n",
+ "| | | | | | | | | |--- Wynagrodzenie_w_relacji_do_sredniej > 70.60\n",
+ "| | | | | | | | | | |--- Wplywy_z_innych_lokalnych_oplat <= 566851.53\n",
"| | | | | | | | | | | |--- truncated branch of depth 9\n",
- "| | | | | | | | | | |--- Wynagrodzenie_w_relacji_do_sredniej > 124.85\n",
- "| | | | | | | | | | | |--- value: [3978361.07]\n",
- "| | | | | | |--- Turysci_zagraniczni > 5907.00\n",
- "| | | | | | | |--- Dochody_dofinansowanie_razem <= 1652968.06\n",
- "| | | | | | | | |--- Ludnosc_w_wieku_produkcyjnym_niemobilnym <= 52302.50\n",
- "| | | | | | | | | |--- value: [61446000.66]\n",
- "| | | | | | | | |--- Ludnosc_w_wieku_produkcyjnym_niemobilnym > 52302.50\n",
- "| | | | | | | | | |--- value: [70210346.90]\n",
- "| | | | | | | |--- Dochody_dofinansowanie_razem > 1652968.06\n",
- "| | | | | | | | |--- Wplywy_z_oplaty_eksploatacyjnej <= 16106.75\n",
- "| | | | | | | | | |--- Ludnosc_mezczyzni <= 128514.50\n",
- "| | | | | | | | | | |--- value: [257797653.62]\n",
- "| | | | | | | | | |--- Ludnosc_mezczyzni > 128514.50\n",
- "| | | | | | | | | | |--- value: [218682371.69]\n",
- "| | | | | | | | |--- Wplywy_z_oplaty_eksploatacyjnej > 16106.75\n",
- "| | | | | | | | | |--- Wynagrodzenie_w_relacji_do_sredniej <= 92.85\n",
- "| | | | | | | | | | |--- value: [190652253.27]\n",
- "| | | | | | | | | |--- Wynagrodzenie_w_relacji_do_sredniej > 92.85\n",
- "| | | | | | | | | | |--- value: [171162684.72]\n",
- "| | | | |--- Wplywy_z_oplaty_targowej > 2084361.06\n",
- "| | | | | |--- Zmiana_liczby_ludnosci <= -3.30\n",
- "| | | | | | |--- value: [278636941.63]\n",
- "| | | | | |--- Zmiana_liczby_ludnosci > -3.30\n",
- "| | | | | | |--- value: [397408737.72]\n",
- "| |--- Zameldowania_mezczyzni > 1265.00\n",
- "| | |--- Wynagrodzenie_w_relacji_do_sredniej <= 133.45\n",
- "| | | |--- Bezrobotne_kobiety <= 3540.75\n",
- "| | | | |--- Dochody_podatek_od_dzialalnosci_gospodarczej <= 5928072.50\n",
- "| | | | | |--- Wynagrodzenie_ogolem <= 6725.34\n",
- "| | | | | | |--- Bezrobotne_kobiety <= 3348.75\n",
- "| | | | | | | |--- Obiekty_caloroczne <= 29.00\n",
- "| | | | | | | | |--- Wplywy_z_innych_lokalnych_oplat <= 58960390.00\n",
- "| | | | | | | | | |--- Ludnosc_kobiety_w_wieku_przedprodukcyjnym <= 19505.50\n",
- "| | | | | | | | | | |--- value: [170265122.35]\n",
- "| | | | | | | | | |--- Ludnosc_kobiety_w_wieku_przedprodukcyjnym > 19505.50\n",
- "| | | | | | | | | | |--- value: [169956996.35]\n",
- "| | | | | | | | |--- Wplywy_z_innych_lokalnych_oplat > 58960390.00\n",
- "| | | | | | | | | |--- value: [210308526.53]\n",
- "| | | | | | | |--- Obiekty_caloroczne > 29.00\n",
- "| | | | | | | | |--- Dlugotrwale_bezrobotni <= 1692.75\n",
- "| | | | | | | | | |--- Dochody_z_najmu_i_dzierzawy <= 63677126.00\n",
- "| | | | | | | | | | |--- Dochody_dofinansowanie_inwestycyjne <= 61285.23\n",
- "| | | | | | | | | | | |--- value: [36212527.68]\n",
- "| | | | | | | | | | |--- Dochody_dofinansowanie_inwestycyjne > 61285.23\n",
- "| | | | | | | | | | | |--- value: [41194483.33]\n",
- "| | | | | | | | | |--- Dochody_z_najmu_i_dzierzawy > 63677126.00\n",
- "| | | | | | | | | | |--- Wynagrodzenie_ogolem <= 5792.35\n",
- "| | | | | | | | | | | |--- value: [49036212.87]\n",
- "| | | | | | | | | | |--- Wynagrodzenie_ogolem > 5792.35\n",
- "| | | | | | | | | | | |--- value: [60701715.89]\n",
- "| | | | | | | | |--- Dlugotrwale_bezrobotni > 1692.75\n",
- "| | | | | | | | | |--- Wynagrodzenie_w_relacji_do_sredniej <= 108.15\n",
- "| | | | | | | | | | |--- Wplywy_z_oplaty_targowej <= 249883.05\n",
+ "| | | | | | | | | | |--- Wplywy_z_innych_lokalnych_oplat > 566851.53\n",
+ "| | | | | | | | | | | |--- truncated branch of depth 23\n",
+ "| | | | | | | |--- Wojewodztwo_Opolskie > 0.50\n",
+ "| | | | | | | | |--- Udzialy_w_podatkach_dochodowych_od_osob_fizycznych <= 9089692.00\n",
+ "| | | | | | | | | |--- value: [12432814.85]\n",
+ "| | | | | | | | |--- Udzialy_w_podatkach_dochodowych_od_osob_fizycznych > 9089692.00\n",
+ "| | | | | | | | | |--- Zameldowania_z_miast_kobiety <= 140.50\n",
+ "| | | | | | | | | | |--- Dochody_podatek_lesny <= 120971.51\n",
"| | | | | | | | | | | |--- truncated branch of depth 3\n",
- "| | | | | | | | | | |--- Wplywy_z_oplaty_targowej > 249883.05\n",
- "| | | | | | | | | | | |--- truncated branch of depth 2\n",
- "| | | | | | | | | |--- Wynagrodzenie_w_relacji_do_sredniej > 108.15\n",
- "| | | | | | | | | | |--- Wynagrodzenie_w_relacji_do_sredniej <= 114.85\n",
- "| | | | | | | | | | | |--- value: [160689378.99]\n",
- "| | | | | | | | | | |--- Wynagrodzenie_w_relacji_do_sredniej > 114.85\n",
- "| | | | | | | | | | | |--- value: [154781987.47]\n",
- "| | | | | | |--- Bezrobotne_kobiety > 3348.75\n",
- "| | | | | | | |--- Bezrobotne_kobiety <= 3459.75\n",
- "| | | | | | | | |--- Zameldowania_z_miast_mezczyzni <= 1035.50\n",
- "| | | | | | | | | |--- value: [258640027.26]\n",
- "| | | | | | | | |--- Zameldowania_z_miast_mezczyzni > 1035.50\n",
- "| | | | | | | | | |--- value: [311347808.39]\n",
- "| | | | | | | |--- Bezrobotne_kobiety > 3459.75\n",
- "| | | | | | | | |--- Dochody_podatek_od_srodkow_transportowych <= 9519707.50\n",
- "| | | | | | | | | |--- Bezrobotne_kobiety <= 3495.75\n",
- "| | | | | | | | | | |--- value: [175142819.65]\n",
- "| | | | | | | | | |--- Bezrobotne_kobiety > 3495.75\n",
- "| | | | | | | | | | |--- value: [178199385.64]\n",
- "| | | | | | | | |--- Dochody_podatek_od_srodkow_transportowych > 9519707.50\n",
- "| | | | | | | | | |--- value: [136488465.37]\n",
- "| | | | | |--- Wynagrodzenie_ogolem > 6725.34\n",
- "| | | | | | |--- Dochody_podatek_PCC <= 44497146.00\n",
- "| | | | | | | |--- value: [72794568.87]\n",
- "| | | | | | |--- Dochody_podatek_PCC > 44497146.00\n",
- "| | | | | | | |--- Udzialy_w_podatkach_dochodowych_od_osob_prywatnych <= 205810792.00\n",
- "| | | | | | | | |--- Dochody_podatek_lesny <= 215557.38\n",
- "| | | | | | | | | |--- Wymeldowania_na_wies_kobiety <= 1870.50\n",
- "| | | | | | | | | | |--- value: [16029835.87]\n",
- "| | | | | | | | | |--- Wymeldowania_na_wies_kobiety > 1870.50\n",
- "| | | | | | | | | | |--- value: [14592470.05]\n",
- "| | | | | | | | |--- Dochody_podatek_lesny > 215557.38\n",
- "| | | | | | | | | |--- Ludnosc_mezczyzni_w_wieku_produkcyjnym <= 102266.00\n",
- "| | | | | | | | | | |--- value: [6335068.75]\n",
- "| | | | | | | | | |--- Ludnosc_mezczyzni_w_wieku_produkcyjnym > 102266.00\n",
- "| | | | | | | | | | |--- value: [2570182.79]\n",
- "| | | | | | | |--- Udzialy_w_podatkach_dochodowych_od_osob_prywatnych > 205810792.00\n",
- "| | | | | | | | |--- value: [31782949.68]\n",
- "| | | | |--- Dochody_podatek_od_dzialalnosci_gospodarczej > 5928072.50\n",
- "| | | | | |--- value: [486634417.85]\n",
- "| | | |--- Bezrobotne_kobiety > 3540.75\n",
- "| | | | |--- Zameldowania_ze_wsi_mezczyzni <= 595.50\n",
- "| | | | | |--- Zameldowania_z_miast_mezczyzni <= 986.00\n",
- "| | | | | | |--- Ludnosc_w_wieku_produkcyjnym_mobilnym <= 246973.00\n",
- "| | | | | | | |--- value: [226429554.13]\n",
- "| | | | | | |--- Ludnosc_w_wieku_produkcyjnym_mobilnym > 246973.00\n",
- "| | | | | | | |--- value: [299234598.97]\n",
- "| | | | | |--- Zameldowania_z_miast_mezczyzni > 986.00\n",
- "| | | | | | |--- Zameldowania_ze_wsi_kobiety <= 628.00\n",
- "| | | | | | | |--- Wymeldowania_mezczyzni <= 1642.00\n",
- "| | | | | | | | |--- value: [697207249.86]\n",
- "| | | | | | | |--- Wymeldowania_mezczyzni > 1642.00\n",
- "| | | | | | | | |--- value: [773787942.19]\n",
- "| | | | | | |--- Zameldowania_ze_wsi_kobiety > 628.00\n",
- "| | | | | | | |--- value: [1029458518.72]\n",
- "| | | | |--- Zameldowania_ze_wsi_mezczyzni > 595.50\n",
- "| | | | | |--- Dochody_podatek_rolny <= 2382003.62\n",
- "| | | | | | |--- Dlugotrwale_bezrobotni <= 10208.50\n",
- "| | | | | | | |--- Bezrobotni_do_25_roku_zycia <= 956.00\n",
- "| | | | | | | | |--- Wymeldowania_na_wies_kobiety <= 2371.50\n",
- "| | | | | | | | | |--- Gestosc_zaludnienia <= 1.57\n",
- "| | | | | | | | | | |--- Wymeldowania_do_miast_kobiety <= 506.00\n",
- "| | | | | | | | | | | |--- value: [101454834.75]\n",
- "| | | | | | | | | | |--- Wymeldowania_do_miast_kobiety > 506.00\n",
- "| | | | | | | | | | | |--- value: [146572830.94]\n",
- "| | | | | | | | | |--- Gestosc_zaludnienia > 1.57\n",
- "| | | | | | | | | | |--- Dochody_podatek_odrebne_ustawy <= 698383488.00\n",
- "| | | | | | | | | | | |--- truncated branch of depth 8\n",
- "| | | | | | | | | | |--- Dochody_podatek_odrebne_ustawy > 698383488.00\n",
- "| | | | | | | | | | | |--- truncated branch of depth 2\n",
- "| | | | | | | | |--- Wymeldowania_na_wies_kobiety > 2371.50\n",
- "| | | | | | | | | |--- Zmiana_liczby_ludnosci <= -3.95\n",
- "| | | | | | | | | | |--- value: [561559712.26]\n",
- "| | | | | | | | | |--- Zmiana_liczby_ludnosci > -3.95\n",
- "| | | | | | | | | | |--- Dochody_podatek_od_dzialalnosci_gospodarczej <= 1665681.25\n",
- "| | | | | | | | | | | |--- value: [449470386.73]\n",
- "| | | | | | | | | | |--- Dochody_podatek_od_dzialalnosci_gospodarczej > 1665681.25\n",
- "| | | | | | | | | | | |--- truncated branch of depth 4\n",
- "| | | | | | | |--- Bezrobotni_do_25_roku_zycia > 956.00\n",
- "| | | | | | | | |--- Dochody_podatek_lesny <= 65387.26\n",
- "| | | | | | | | | |--- Turysci_zagraniczni <= 132817.50\n",
- "| | | | | | | | | | |--- Dochody_podatek_PCC <= 96171684.00\n",
- "| | | | | | | | | | | |--- value: [525003920.12]\n",
- "| | | | | | | | | | |--- Dochody_podatek_PCC > 96171684.00\n",
- "| | | | | | | | | | | |--- value: [512681952.25]\n",
- "| | | | | | | | | |--- Turysci_zagraniczni > 132817.50\n",
- "| | | | | | | | | | |--- value: [570198401.95]\n",
- "| | | | | | | | |--- Dochody_podatek_lesny > 65387.26\n",
- "| | | | | | | | | |--- Turysci_zagraniczni <= 68721.50\n",
- "| | | | | | | | | | |--- Ludnosc_mezczyzni_w_wieku_produkcyjnym <= 331145.00\n",
- "| | | | | | | | | | | |--- value: [402181004.03]\n",
- "| | | | | | | | | | |--- Ludnosc_mezczyzni_w_wieku_produkcyjnym > 331145.00\n",
- "| | | | | | | | | | | |--- value: [393784496.80]\n",
- "| | | | | | | | | |--- Turysci_zagraniczni > 68721.50\n",
- "| | | | | | | | | | |--- value: [336825560.70]\n",
- "| | | | | | |--- Dlugotrwale_bezrobotni > 10208.50\n",
- "| | | | | | | |--- Dochody_dofinansowanie_inwestycyjne <= 8016522.75\n",
- "| | | | | | | | |--- Wymeldowania_na_wies_ogolem <= 2801.00\n",
- "| | | | | | | | | |--- value: [343376510.79]\n",
- "| | | | | | | | |--- Wymeldowania_na_wies_ogolem > 2801.00\n",
- "| | | | | | | | | |--- Powierzchnia <= 405.00\n",
- "| | | | | | | | | | |--- Ludnosc_w_wieku_produkcyjnym_niemobilnym <= 144979.00\n",
- "| | | | | | | | | | | |--- value: [181961465.97]\n",
- "| | | | | | | | | | |--- Ludnosc_w_wieku_produkcyjnym_niemobilnym > 144979.00\n",
- "| | | | | | | | | | | |--- value: [148846494.63]\n",
- "| | | | | | | | | |--- Powierzchnia > 405.00\n",
- "| | | | | | | | | | |--- value: [238904839.22]\n",
- "| | | | | | | |--- Dochody_dofinansowanie_inwestycyjne > 8016522.75\n",
- "| | | | | | | | |--- Udzialy_w_podatkach_dochodowych_od_osob_prywatnych <= 749905256.00\n",
- "| | | | | | | | | |--- value: [16359845.01]\n",
- "| | | | | | | | |--- Udzialy_w_podatkach_dochodowych_od_osob_prywatnych > 749905256.00\n",
- "| | | | | | | | | |--- value: [49321083.34]\n",
- "| | | | | |--- Dochody_podatek_rolny > 2382003.62\n",
- "| | | | | | |--- Bezrobotni_ogolem <= 19139.25\n",
- "| | | | | | | |--- value: [630168440.25]\n",
- "| | | | | | |--- Bezrobotni_ogolem > 19139.25\n",
- "| | | | | | | |--- value: [546788438.22]\n",
- "| | |--- Wynagrodzenie_w_relacji_do_sredniej > 133.45\n",
- "| | | |--- Zameldowania_mezczyzni <= 8867.50\n",
- "| | | | |--- value: [718045029.74]\n",
- "| | | |--- Zameldowania_mezczyzni > 8867.50\n",
- "| | | | |--- value: [1880272790.67]\n",
- "|--- Bezrobotni_powyzej_50_roku_zycia > 13525.75\n",
- "| |--- Dochody_podatek_od_spadkow <= 51075938.00\n",
- "| | |--- Zameldowania_ze_wsi_mezczyzni <= 1711.50\n",
- "| | | |--- value: [1636234649.62]\n",
- "| | |--- Zameldowania_ze_wsi_mezczyzni > 1711.50\n",
- "| | | |--- value: [2317085372.95]\n",
- "| |--- Dochody_podatek_od_spadkow > 51075938.00\n",
- "| | |--- value: [4888827044.14]\n",
+ "| | | | | | | | | | |--- Dochody_podatek_lesny > 120971.51\n",
+ "| | | | | | | | | | | |--- value: [1383897.89]\n",
+ "| | | | | | | | | |--- Zameldowania_z_miast_kobiety > 140.50\n",
+ "| | | | | | | | | | |--- value: [4817436.62]\n",
+ "| | | | |--- Dochody_podatek_rolny > 3939909.12\n",
+ "| | | | | |--- value: [9110050.20]\n",
"\n"
]
}
@@ -4138,108 +3734,108 @@
},
{
"cell_type": "code",
- "execution_count": 357,
+ "execution_count": 449,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
- "0.53063 — Bezrobotni_powyzej_50_roku_zycia\n",
- "0.15004 — Zameldowania_mezczyzni\n",
- "0.11683 — Dochody_podatek_od_spadkow\n",
- "0.04385 — Wynagrodzenie_w_relacji_do_sredniej\n",
- "0.01884 — Bezrobotne_kobiety\n",
- "0.01772 — Ludnosc_kobiety_w_wieku_produkcyjnym_mobilnym\n",
- "0.01252 — Zameldowania_ze_wsi_mezczyzni\n",
- "0.00942 — Dochody_dofinansowanie_inwestycyjne\n",
- "0.00925 — Turysci_ogolem\n",
- "0.00823 — Zameldowania_z_miast_mezczyzni\n",
- "0.00817 — Dochody_podatek_rolny\n",
- "0.00541 — Dlugotrwale_bezrobotni\n",
- "0.00442 — Zmiana_liczby_ludnosci\n",
- "0.00426 — Ludnosc_mezczyzni_w_wieku_poprodukcyjnym\n",
- "0.00379 — Wplywy_z_oplaty_eksploatacyjnej\n",
- "0.00352 — Bezrobotni_do_25_roku_zycia\n",
- "0.00343 — Ludnosc_w_wieku_przedprodukcyjnym\n",
- "0.00328 — Dochody_podatek_od_dzialalnosci_gospodarczej\n",
- "0.00321 — Wplywy_z_oplaty_targowej\n",
- "0.00311 — Dochody_podatek_lesny\n",
- "0.00253 — Ludnosc_kobiety_w_wieku_poprodukcyjnym\n",
- "0.00227 — Wynagrodzenie_ogolem\n",
- "0.00213 — Wymeldowania_na_wies_kobiety\n",
- "0.00191 — Dochody_dofinansowanie_razem\n",
- "0.00180 — Wplywy_z_innych_lokalnych_oplat\n",
- "0.00172 — Wymeldowania_do_miast_ogolem\n",
- "0.00160 — Wymeldowania_na_wies_ogolem\n",
- "0.00159 — Dochody_podatek_odrebne_ustawy\n",
- "0.00152 — Miejsca_noclegowe_ogolem\n",
- "0.00129 — Turysci_zagraniczni\n",
- "0.00129 — Obiekty_ogolem\n",
- "0.00127 — Ludnosc_mezczyzni_w_wieku_przedprodukcyjnym\n",
- "0.00124 — Zameldowania_ze_wsi_kobiety\n",
- "0.00121 — Wojewodztwo_Slaskie\n",
- "0.00109 — Gestosc_zaludnienia\n",
- "0.00097 — Dochody_z_majatku\n",
- "0.00081 — Saldo_migracji\n",
- "0.00074 — Obiekty_caloroczne\n",
- "0.00072 — Ludnosc_na_1_km2\n",
- "0.00070 — Dochody_z_uslug\n",
- "0.00068 — Powierzchnia\n",
- "0.00065 — Dochody_podatek_od_srodkow_transportowych\n",
- "0.00058 — Udzialy_w_podatkach_dochodowych_od_osob_prywatnych\n",
- "0.00055 — Udzialy_w_podatkach_dochodowych_razem\n",
- "0.00052 — Dochody_podatek_PCC\n",
- "0.00050 — Ludnosc_mezczyzni_w_wieku_produkcyjnym_mobilnym\n",
- "0.00045 — Udzialy_w_podatkach_dochodowych_od_osob_fizycznych\n",
- "0.00040 — Dochody_podatek_od_nieruchomosci\n",
- "0.00038 — Wymeldowania_do_miast_kobiety\n",
- "0.00038 — Dochody_z_najmu_i_dzierzawy\n",
- "0.00037 — Ludnosc_kobiety_w_wieku_przedprodukcyjnym\n",
- "0.00035 — Wymeldowania_do_miast_mezczyzni\n",
- "0.00032 — Ludnosc_mezczyzni_w_wieku_produkcyjnym\n",
- "0.00032 — Wplywy_z_oplaty_skarbowej\n",
- "0.00030 — Bezrobotni_mezczyzni\n",
- "0.00026 — Wojewodztwo_Podkarpackie\n",
- "0.00025 — Saldo_migracji_na_1000_ludnosci\n",
- "0.00023 — Wojewodztwo_Lubuskie\n",
- "0.00022 — Wskaznik_urbanizacji\n",
- "0.00021 — Zameldowania_kobiety\n",
- "0.00020 — Wymeldowania_kobiety\n",
- "0.00020 — Zameldowania_ze_wsi_ogolem\n",
- "0.00019 — Wojewodztwo_Opolskie\n",
- "0.00019 — Ludnosc_mezczyzni\n",
- "0.00018 — Wymeldowania_na_wies_mezczyzni\n",
- "0.00017 — Bezrobotni_ogolem\n",
- "0.00017 — Ludnosc\n",
- "0.00017 — Ludnosc_kobiety_w_wieku_produkcyjnym\n",
- "0.00016 — Ludnosc_w_wieku_produkcyjnym_mobilnym\n",
- "0.00015 — Wojewodztwo_Podlaskie\n",
- "0.00012 — Zameldowania_z_miast_ogolem\n",
- "0.00012 — Zameldowania_ogolem\n",
- "0.00011 — Wymeldowania_mezczyzni\n",
- "0.00011 — Dochody_razem\n",
- "0.00010 — Miejsca_noclegowe_caloroczne\n",
- "0.00010 — Zameldowania_z_miast_kobiety\n",
- "0.00008 — Wojewodztwo_Mazowieckie\n",
- "0.00008 — Wojewodztwo_Dolnoslaskie\n",
- "0.00007 — Ludnosc_kobiety_w_wieku_produkcyjnym_niemobilnym\n",
- "0.00006 — Wymeldowania_ogolem\n",
- "0.00006 — Wojewodztwo_Lodzkie\n",
- "0.00005 — Ludnosc_w_wieku_produkcyjnym\n",
- "0.00004 — Ludnosc_mezczyzni_w_wieku_produkcyjnym_niemobilnym\n",
- "0.00003 — Ludnosc_w_wieku_poprodukcyjnym\n",
- "0.00003 — Wojewodztwo_Swietokrzyskie\n",
- "0.00003 — Ludnosc_kobiety\n",
- "0.00003 — Ludnosc_w_wieku_produkcyjnym_niemobilnym\n",
- "0.00002 — Wojewodztwo_Kujawsko_Pomorskie\n",
- "0.00001 — Wojewodztwo_Lubelskie\n",
- "0.00001 — Wojewodztwo_Warminsko_Mazurskie\n",
- "0.00001 — Wojewodztwo_Zachodniopomorskie\n",
- "0.00001 — Ludnosc_ogolem\n",
- "0.00000 — Wojewodztwo_Pomorskie\n",
+ "0.32120 — Wplywy_z_oplaty_eksploatacyjnej\n",
+ "0.15728 — Wymeldowania_ogolem\n",
+ "0.07384 — Wplywy_z_oplaty_skarbowej\n",
+ "0.07115 — Dochody_podatek_od_dzialalnosci_gospodarczej\n",
+ "0.07098 — Ludnosc_kobiety_w_wieku_produkcyjnym_mobilnym\n",
+ "0.06455 — Dochody_podatek_lesny\n",
+ "0.04225 — Dochody_dofinansowanie_razem\n",
+ "0.02294 — Ludnosc_kobiety_w_wieku_produkcyjnym_niemobilnym\n",
+ "0.01696 — Dochody_podatek_PCC\n",
+ "0.01605 — Ludnosc_ogolem\n",
+ "0.01528 — Turysci_zagraniczni\n",
+ "0.01449 — Dochody_podatek_od_srodkow_transportowych\n",
+ "0.01294 — Gestosc_zaludnienia\n",
+ "0.01121 — Dochody_z_najmu_i_dzierzawy\n",
+ "0.00803 — Bezrobotni_mezczyzni\n",
+ "0.00639 — Udzialy_w_podatkach_dochodowych_od_osob_fizycznych\n",
+ "0.00608 — Dochody_podatek_rolny\n",
+ "0.00596 — Wymeldowania_na_wies_mezczyzni\n",
+ "0.00590 — Wynagrodzenie_ogolem\n",
+ "0.00527 — Wymeldowania_kobiety\n",
+ "0.00507 — Wplywy_z_oplaty_targowej\n",
+ "0.00475 — Zameldowania_z_miast_kobiety\n",
+ "0.00388 — Saldo_migracji_na_1000_ludnosci\n",
+ "0.00365 — Bezrobotni_do_25_roku_zycia\n",
+ "0.00357 — Wojewodztwo_Opolskie\n",
+ "0.00292 — Zmiana_liczby_ludnosci\n",
+ "0.00276 — Wynagrodzenie_w_relacji_do_sredniej\n",
+ "0.00266 — Dochody_podatek_od_spadkow\n",
+ "0.00202 — Ludnosc_w_wieku_poprodukcyjnym\n",
+ "0.00195 — Udzialy_w_podatkach_dochodowych_od_osob_prywatnych\n",
+ "0.00188 — Wplywy_z_innych_lokalnych_oplat\n",
+ "0.00156 — Wojewodztwo_Lubelskie\n",
+ "0.00134 — Wymeldowania_na_wies_kobiety\n",
+ "0.00106 — Udzialy_w_podatkach_dochodowych_razem\n",
+ "0.00088 — Ludnosc_kobiety_w_wieku_poprodukcyjnym\n",
+ "0.00088 — Dochody_z_uslug\n",
+ "0.00079 — Powierzchnia\n",
+ "0.00066 — Dochody_podatek_od_nieruchomosci\n",
+ "0.00062 — Zameldowania_z_miast_ogolem\n",
+ "0.00057 — Zameldowania_z_miast_mezczyzni\n",
+ "0.00055 — Zameldowania_mezczyzni\n",
+ "0.00054 — Zameldowania_ze_wsi_mezczyzni\n",
+ "0.00047 — Ludnosc_w_wieku_produkcyjnym\n",
+ "0.00042 — Miejsca_noclegowe_ogolem\n",
+ "0.00036 — Dochody_dofinansowanie_inwestycyjne\n",
+ "0.00036 — Ludnosc_mezczyzni_w_wieku_produkcyjnym\n",
+ "0.00035 — Wymeldowania_na_wies_ogolem\n",
+ "0.00032 — Ludnosc_kobiety_w_wieku_produkcyjnym\n",
+ "0.00030 — Wojewodztwo_Podkarpackie\n",
+ "0.00028 — Wymeldowania_do_miast_ogolem\n",
+ "0.00027 — Wymeldowania_do_miast_kobiety\n",
+ "0.00027 — Dochody_z_majatku\n",
+ "0.00023 — Bezrobotne_kobiety\n",
+ "0.00021 — Wymeldowania_do_miast_mezczyzni\n",
+ "0.00021 — Ludnosc_w_wieku_produkcyjnym_mobilnym\n",
+ "0.00021 — Bezrobotni_ogolem\n",
+ "0.00021 — Ludnosc_w_wieku_przedprodukcyjnym\n",
+ "0.00018 — Ludnosc_na_1_km2\n",
+ "0.00017 — Obiekty_ogolem\n",
+ "0.00017 — Wymeldowania_mezczyzni\n",
+ "0.00014 — Ludnosc_mezczyzni_w_wieku_poprodukcyjnym\n",
+ "0.00014 — Zameldowania_ze_wsi_kobiety\n",
+ "0.00012 — Wskaznik_urbanizacji\n",
+ "0.00011 — Zameldowania_kobiety\n",
+ "0.00011 — Miejsca_noclegowe_caloroczne\n",
+ "0.00010 — Bezrobotni_powyzej_50_roku_zycia\n",
+ "0.00007 — Zameldowania_ze_wsi_ogolem\n",
+ "0.00006 — Wojewodztwo_Warminsko_Mazurskie\n",
+ "0.00006 — Dochody_razem\n",
+ "0.00005 — Ludnosc_mezczyzni_w_wieku_produkcyjnym_niemobilnym\n",
+ "0.00004 — Saldo_migracji\n",
+ "0.00004 — Wojewodztwo_Slaskie\n",
+ "0.00004 — Wojewodztwo_Pomorskie\n",
+ "0.00003 — Ludnosc_mezczyzni_w_wieku_przedprodukcyjnym\n",
+ "0.00003 — Dlugotrwale_bezrobotni\n",
+ "0.00002 — Ludnosc_mezczyzni_w_wieku_produkcyjnym_mobilnym\n",
+ "0.00002 — Wojewodztwo_Lodzkie\n",
+ "0.00001 — Turysci_ogolem\n",
+ "0.00001 — Ludnosc_kobiety\n",
+ "0.00001 — Obiekty_caloroczne\n",
+ "0.00001 — Ludnosc\n",
+ "0.00001 — Ludnosc_w_wieku_produkcyjnym_niemobilnym\n",
+ "0.00001 — Wojewodztwo_Mazowieckie\n",
+ "0.00001 — Dochody_podatek_odrebne_ustawy\n",
+ "0.00001 — Wojewodztwo_Dolnoslaskie\n",
+ "0.00000 — Zameldowania_ogolem\n",
+ "0.00000 — Wojewodztwo_Lubuskie\n",
+ "0.00000 — Ludnosc_mezczyzni\n",
+ "0.00000 — Wojewodztwo_Podlaskie\n",
+ "0.00000 — Ludnosc_kobiety_w_wieku_przedprodukcyjnym\n",
+ "0.00000 — Wojewodztwo_Wielkopolskie\n",
"0.00000 — Wojewodztwo_Malopolskie\n",
- "0.00000 — Wojewodztwo_Wielkopolskie\n"
+ "0.00000 — Wojewodztwo_Zachodniopomorskie\n",
+ "0.00000 — Wojewodztwo_Kujawsko_Pomorskie\n",
+ "0.00000 — Wojewodztwo_Swietokrzyskie\n"
]
}
],