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Projeto Guiado - Semana 13 - Jéssica Cristina #12

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09775f8
Criado usando o Colaboratory
jessicacristinams Nov 2, 2023
dce8d16
Merge branch 'reprograma:main' into main
jessicacristinams Nov 2, 2023
7b3c295
Criado usando o Colaboratory
jessicacristinams Nov 2, 2023
646ec70
projeto guiado 2
jessicacristinams Nov 3, 2023
673ab8a
projeto guiado 2
jessicacristinams Nov 3, 2023
c558729
Criado usando o Colaboratory
jessicacristinams Nov 3, 2023
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Delete exercicios/para-casa/casa.ipynb
jessicacristinams Nov 3, 2023
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2,509 changes: 2,509 additions & 0 deletions casa.ipynb
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1 change: 1 addition & 0 deletions exercicios/para-casa/.~lock.catsvdogs.csv#
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,jessica,jessica-NH4CU03,03.11.2023 17:17,file:///home/jessica/.config/libreoffice/4;
Binary file added exercicios/para-casa/banco_catsvdogs.db
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208 changes: 208 additions & 0 deletions exercicios/para-casa/casa-parte2.ipynb
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{
"cells": [
{
"cell_type": "code",
"execution_count": 14,
"metadata": {},
"outputs": [],
"source": [
"import csv\n",
"import sqlite3"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {},
"outputs": [],
"source": [
"file = open(\"catsvdogs.csv\", encoding= 'UTF-8') "
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {},
"outputs": [],
"source": [
"conteudo = csv.reader(file)\n",
"\n",
"connection = sqlite3.connect(\"banco_catsvdogs.db\")\n",
"\n",
"cursor = connection.cursor()"
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<sqlite3.Cursor at 0x7f01e85c2140>"
]
},
"execution_count": 17,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"cursor.execute('''CREATE TABLE IF NOT EXISTS rank (\n",
" Location VARCHAR,\n",
" Number_of_Households INT,\n",
" Percentage_of_households_with_pets FLOAT, \n",
" Number_of_Pet_Households INT,\n",
" Percentage_of_Dog_Owners FLOAT,\n",
" Dog_Owning_Households INT,\n",
" Mean_Number_of_Dogs_per_household FLOAT,\n",
" Dog_Population INT,\n",
" Percentage_of_Cat_Owners FLOAT,\n",
" Cat_Owning_Households INT,\n",
" Mean_Number_of_Cats FLOAT,\n",
" Cat_Population INT\n",
" \n",
")''')"
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<sqlite3.Cursor at 0x7f01e85c2140>"
]
},
"execution_count": 18,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"inserir_conteudo = \"INSERT INTO rank (Location, Number_of_Households, Percentage_of_households_with_pets, Number_of_Pet_Households, Percentage_of_Dog_Owners, Dog_Owning_Households, Mean_Number_of_Dogs_per_household, Dog_Population, Percentage_of_Cat_Owners, Cat_Owning_Households, Mean_Number_of_Cats, Cat_Population)VALUES(?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)\"\n",
"\n",
"cursor.executemany(inserir_conteudo, conteudo)"
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {},
"outputs": [],
"source": [
"selecionar_tudo = \"SELECT * FROM rank\"\n",
"entradas = cursor.execute(selecionar_tudo).fetchall()"
]
},
{
"cell_type": "code",
"execution_count": 20,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"('Location', 'Number of Households (in 1000)', 'Percentage of households with pets', 'Number of Pet Households (in 1000)', 'Percentage of Dog Owners', 'Dog Owning Households (1000s)', 'Mean Number of Dogs per household', 'Dog Population (in 1000)', 'Percentage of Cat Owners', 'Cat Owning Households', 'Mean Number of Cats', 'Cat Population')\n",
"('Alabama', 1828, 59.5, 1088, 44.1, 807, 1.7, 141, 27.4, 501, 2.5, 1252)\n",
"('Arizona', 2515, 59.5, 1497, 40.1, 1008, 1.8, 1798, 29.6, 743, 1.9, 1438)\n",
"('Arkansas', 1148, 62.4, 716, 47.9, 550, 2.0, 1097, 30.6, 351, 2.3, 810)\n",
"('California', 12974, 52.9, 6865, 32.8, 426, 1.6, 6687, 28.3, 3687, 1.9, 7118)\n",
"('Colorado', 1986, 61.3, 1217, 42.5, 845, 1.6, 1349, 32.3, 642, 1.9, 1191)\n",
"('Connecticut', 1337, 54.4, 728, 28.3, 379, 1.3, 507, 31.9, 427, 1.9, 796)\n",
"('Delaware', 334, 56.6, 189, 33.7, 113, 1.4, 163, 33.7, 113, 1.7, 187)\n",
"('District of Columbia', 287, 21.9, 63, 13.1, 38, 1.1, 42, 11.6, 33, 1.9, 63)\n",
"('Florida', 7609, 54.4, 4138, 35.7, 2718, 1.5, 421, 27.3, 2079, 2.1, 4375)\n",
"('Georgia', 3798, 55.1, 2093, 40.1, 1522, 1.6, 2479, 27.3, 1037, 2.1, 2162)\n",
"('Idaho', 568, 62.0, 352, 42.7, 242, 1.5, 357, 34.6, 196, 2.0, 393)\n",
"('Illinois', 5026, 51.8, 2602, 32.4, 1627, 1.5, 2365, 26.3, 1321, 1.9, 2453)\n",
"('Indiana', 2478, 59.9, 1484, 39.9, 989, 1.6, 1619, 34.4, 852, 2.2, 1912)\n",
"('Iowa', 1219, 53.6, 654, 33.4, 407, 1.5, 610, 30.3, 370, 2.2, 805)\n",
"('Kansas', 1133, 61.0, 691, 42.3, 480, 1.6, 774, 33.3, 378, 1.9, 731)\n",
"('Kentucky', 1777, 61.6, 1094, 45.9, 816, 1.9, 1531, 36.8, 654, 2.1, 1349)\n",
"('Louisiana', 1702, 55.1, 937, 36.4, 619, 1.8, 1115, 25.9, 441, 2.0, 877)\n",
"('Maine', 548, 62.9, 345, 34.6, 190, 1.6, 300, 46.4, 254, 1.9, 498)\n",
"('Maryland', 2169, 52.3, 1134, 30.8, 667, 1.4, 915, 29.8, 645, 2.6, 1677)\n",
"('Massachusetts', 2618, 50.4, 1318, 23.6, 618, 1.4, 850, 34.1, 892, 1.8, 1593)\n",
"('Michigan', 3804, 55.4, 2108, 34.6, 1318, 1.5, 2036, 31.3, 1192, 2.0, 242)\n",
"('Minnesota', 2163, 53.0, 1146, 31.9, 690, 1.4, 934, 29.7, 643, 2.0, 1264)\n",
"('Mississippi', 1115, 56.4, 629, 45.2, 504, 1.7, 846, 29.1, 324, 2.1, 668)\n",
"('Missouri', 2498, 61.4, 1534, 45.9, 1148, 1.7, 1978, 32.2, 805, 2.1, 1653)\n",
"('Montana', 410, 61.3, 251, 41.2, 169, 1.7, 282, 33.6, 138, 2.0, 277)\n",
"('Nebraska', 710, 51.3, 364, 33.8, 240, 1.6, 374, 31.3, 222, 2.3, 514)\n",
"('Nevada', 986, 55.6, 548, 37.1, 366, 1.6, 578, 30.3, 299, 2.1, 625)\n",
"('New Hampshire', 508, 56.8, 289, 30.3, 154, 1.4, 212, 34.2, 174, 1.8, 309)\n",
"('New Jersey', 3177, 50.7, 1611, 32.4, 1028, 1.3, 134, 25.3, 803, 1.8, 1468)\n",
"('New Mexico', 773, 67.6, 523, 46.0, 356, 2.0, 703, 32.0, 247, 2.2, 533)\n",
"('New York', 7512, 50.6, 3802, 29.0, 2177, 1.4, 3054, 29.1, 2189, 1.9, 4261)\n",
"('North Carolina', 3701, 56.4, 2089, 40.3, 1491, 1.7, 2518, 29.5, 109, 2.0, 2220)\n",
"('North Dakota', 272, 53.9, 147, 36.1, 98, 1.4, 139, 31.4, 85, 2.0, 174)\n",
"('Ohio', 4661, 57.4, 2677, 36.6, 1708, 1.6, 273, 33.3, 1553, 2.4, 3786)\n",
"('Oklahoma', 1479, 58.9, 872, 43.2, 638, 2.1, 1327, 32.6, 482, 2.2, 1041)\n",
"('Oregon', 1505, 63.6, 957, 38.8, 584, 1.6, 917, 40.2, 605, 2.0, 1185)\n",
"('Pennsylvania', 5172, 56.9, 2942, 32.9, 1702, 1.5, 2485, 33.8, 1748, 2.0, 3544)\n",
"('Rhode Island', 434, 53.0, 230, 29.3, 127, 1.3, 161, 27.6, 120, 1.8, 212)\n",
"('South Carolina', 1759, 54.1, 951, 38.6, 678, 1.8, 1191, 27.8, 490, 2.1, 1039)\n",
"('South Dakota', 333, 65.6, 219, 42.8, 143, 1.5, 220, 39.1, 130, 2.2, 290)\n",
"('Tennessee', 2583, 59.6, 154, 44.1, 114, 1.9, 2157, 29.8, 770, 2.3, 1749)\n",
"('Texas', 9002, 58.5, 5265, 44.0, '3,96', 1.8, 7163, 28.3, 2544, 2.2, 5565)\n",
"('Utah', 930, 51.2, 476, 29.4, 273, 1.5, 410, 24.6, 229, 2.0, 455)\n",
"('Vermont', 265, 70.8, 188, 37.7, 100, 1.4, 142, 49.5, 131, 1.8, 234)\n",
"('Virginia', 3017, 53.4, 1611, 35.4, 1069, 1.6, 1699, 29.0, 876, 2.1, 1855)\n",
"('Washington', 2632, 62.7, 1649, 36.3, 954, 1.7, 1609, 39.0, 1028, 1.8, 1844)\n",
"('West Virginia', 765, 62.1, 475, 45.8, 350, 1.8, 648, 38.1, 291, 2.2, 628)\n",
"('Wisconsin', 235, 57.5, 1352, 33.9, 796, 1.4, 1138, 33.0, 776, 1.9, 1510)\n",
"('Wyoming', 221, 61.8, 137, 38.8, 86, 1.5, 125, 33.9, 75, 1.9, 144)\n"
]
}
],
"source": [
"for entrada in entradas:\n",
" print(entrada)"
]
},
{
"cell_type": "code",
"execution_count": 21,
"metadata": {},
"outputs": [],
"source": [
"connection.commit()\n",
"connection.close()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"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": "3.11.0"
},
"orig_nbformat": 4
},
"nbformat": 4,
"nbformat_minor": 2
}
50 changes: 50 additions & 0 deletions exercicios/para-casa/catsvdogs.csv
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Location,Number of Households (in 1000),Percentage of households with pets,Number of Pet Households (in 1000),Percentage of Dog Owners,Dog Owning Households (1000s),Mean Number of Dogs per household,Dog Population (in 1000),Percentage of Cat Owners,Cat Owning Households,Mean Number of Cats,Cat Population
Alabama,1828,59.5,1088,44.1,807,1.7,141,27.4,501,2.5,1252
Arizona,2515,59.5,1497,40.1,1008,1.8,1798,29.6,743,1.9,1438
Arkansas,1148,62.4,716,47.9,550,2.0,1097,30.6,351,2.3,810
California,12974,52.9,6865,32.8,426,1.6,6687,28.3,3687,1.9,7118
Colorado,1986,61.3,1217,42.5,845,1.6,1349,32.3,642,1.9,1191
Connecticut,1337,54.4,728,28.3,379,1.3,507,31.9,427,1.9,796
Delaware,334,56.6,189,33.7,113,1.4,163,33.7,113,1.7,187
District of Columbia,287,21.9,63,13.1,38,1.1,42,11.6,33,1.9,63
Florida,7609,54.4,4138,35.7,2718,1.5,421,27.3,2079,2.1,4375
Georgia,3798,55.1,2093,40.1,1522,1.6,2479,27.3,1037,2.1,2162
Idaho,568,62.0,352,42.7,242,1.5,357,34.6,196,2.0,393
Illinois,5026,51.8,2602,32.4,1627,1.5,2365,26.3,1321,1.9,2453
Indiana,2478,59.9,1484,39.9,989,1.6,1619,34.4,852,2.2,1912
Iowa,1219,53.6,654,33.4,407,1.5,610,30.3,370,2.2,805
Kansas,1133,61.0,691,42.3,480,1.6,774,33.3,378,1.9,731
Kentucky,1777,61.6,1094,45.9,816,1.9,1531,36.8,654,2.1,1349
Louisiana,1702,55.1,937,36.4,619,1.8,1115,25.9,441,2.0,877
Maine,548,62.9,345,34.6,190,1.6,300,46.4,254,1.9,498
Maryland,2169,52.3,1134,30.8,667,1.4,915,29.8,645,2.6,1677
Massachusetts,2618,50.4,1318,23.6,618,1.4,850,34.1,892,1.8,1593
Michigan,3804,55.4,2108,34.6,1318,1.5,2036,31.3,1192,2.0,242
Minnesota,2163,53.0,1146,31.9,690,1.4,934,29.7,643,2.0,1264
Mississippi,1115,56.4,629,45.2,504,1.7,846,29.1,324,2.1,668
Missouri,2498,61.4,1534,45.9,1148,1.7,1978,32.2,805,2.1,1653
Montana,410,61.3,251,41.2,169,1.7,282,33.6,138,2.0,277
Nebraska,710,51.3,364,33.8,240,1.6,374,31.3,222,2.3,514
Nevada,986,55.6,548,37.1,366,1.6,578,30.3,299,2.1,625
New Hampshire,508,56.8,289,30.3,154,1.4,212,34.2,174,1.8,309
New Jersey,3177,50.7,1611,32.4,1028,1.3,134,25.3,803,1.8,1468
New Mexico,773,67.6,523,46.0,356,2.0,703,32.0,247,2.2,533
New York,7512,50.6,3802,29.0,2177,1.4,3054,29.1,2189,1.9,4261
North Carolina,3701,56.4,2089,40.3,1491,1.7,2518,29.5,109,2.0,2220
North Dakota,272,53.9,147,36.1,98,1.4,139,31.4,85,2.0,174
Ohio,4661,57.4,2677,36.6,1708,1.6,273,33.3,1553,2.4,3786
Oklahoma,1479,58.9,872,43.2,638,2.1,1327,32.6,482,2.2,1041
Oregon,1505,63.6,957,38.8,584,1.6,917,40.2,605,2.0,1185
Pennsylvania,5172,56.9,2942,32.9,1702,1.5,2485,33.8,1748,2.0,3544
Rhode Island,434,53.0,230,29.3,127,1.3,161,27.6,120,1.8,212
South Carolina,1759,54.1,951,38.6,678,1.8,1191,27.8,490,2.1,1039
South Dakota,333,65.6,219,42.8,143,1.5,220,39.1,130,2.2,290
Tennessee,2583,59.6,154,44.1,114,1.9,2157,29.8,770,2.3,1749
Texas,9002,58.5,5265,44.0,"3,96",1.8,7163,28.3,2544,2.2,5565
Utah,930,51.2,476,29.4,273,1.5,410,24.6,229,2.0,455
Vermont,265,70.8,188,37.7,100,1.4,142,49.5,131,1.8,234
Virginia,3017,53.4,1611,35.4,1069,1.6,1699,29.0,876,2.1,1855
Washington,2632,62.7,1649,36.3,954,1.7,1609,39.0,1028,1.8,1844
West Virginia,765,62.1,475,45.8,350,1.8,648,38.1,291,2.2,628
Wisconsin,235,57.5,1352,33.9,796,1.4,1138,33.0,776,1.9,1510
Wyoming,221,61.8,137,38.8,86,1.5,125,33.9,75,1.9,144