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Cidade,Data,Precipitação,Pressão Atmosférica ao nível da estação,Pressão Atmosférica máxima,Pressão Atmosférica mínima,Radiação Global,Temperatura do ar - bulbo seco,Temperatura do ponto de orvalho,Temperatura máxima,Temperatura mínima,Temperatura orvalho máxima,Temperatura orvalho mínima,Umidade Relativa máxima,Umidade Relativa mínima,Umidade Relativa do Ar,Direção Horária do Vento,Rajada Máxima de Vento,Velocidade Horária do Vento | |
Altamira,2019-01-06 00:00:00+00:00,0.28055555555555567,989.9652777777779,990.2743055555558,989.6479166666666,894.125641025641,25.822916666666664,22.869444444444454,26.330555555555556,25.337500000000002,23.331944444444442,22.501388888888897,87.41666666666667,82.00694444444444,84.63194444444444,110.17361111111111,3.6340277777777783,1.0138888888888893 | |
Altamira,2019-01-13 00:00:00+00:00,0.6047619047619048,990.2136904761908,990.4922619047621,989.9273809523814,823.9164835164838,24.428571428571416,22.095833333333314,24.861904761904746,24.01607142857143,22.498214285714283,21.7166666666666 |
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Date | Pump price ULSP (p/litre) | Diff on previous WEEK ULSP (p/litre) | Diff on previous YEAR ULSP (p/litre) | Duty rate ULSP (p/litre) | VAT (% rate) ULSP | Pump price ULSD (p/litre) | Diff on previous WEEK ULSD (p/litre) | Diff on previous YEAR ULSD (p/litre) | Duty rate ULSD (p/litre) | VAT (% rate) ULSD | |
---|---|---|---|---|---|---|---|---|---|---|---|
09/06/2003 | 74.59 | 45.82 | 17.50 | 76.77 | 45.82 | 17.50 | |||||
16/06/2003 | 74.47 | -0.1 | 45.82 | 17.50 | 76.69 | -0.1 | 45.82 | 17.50 | |||
23/06/2003 | 74.42 | 0.0 | 45.82 | 17.50 | 76.62 | -0.1 | 45.82 | 17.50 | |||
30/06/2003 | 74.35 | -0.1 | 45.82 | 17.50 | 76.51 | -0.1 | 45.82 | 17.50 | |||
07/07/2003 | 74.28 | -0.1 | 45.82 | 17.50 | 76.46 | 0.0 | 45.82 | 17.50 | |||
14/07/2003 | 74.21 | -0.1 | 45.82 | 17.50 | 76.41 | 0.0 | 45.82 | 17.50 | |||
21/07/2003 | 75.07 | 0.9 | 45.82 | 17.50 | 76.90 | 0.5 | 45.82 | 17.50 | |||
28/07/2003 | 75.10 | 0.0 | 45.82 | 17.50 | 76.86 | 0.0 | 45.82 | 17.50 | |||
04/08/2003 | 75.12 | 0.0 | 45.82 | 17.50 | 76.81 | 0.0 | 45.82 | 17.50 |
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fixed_acidity | volatile_acidity | citric_acid | residual_sugar | chlorides | free_sulfur_dioxide | total_sulfur_dioxide | density | pH | sulphates | alcohol | quality | style | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
7.4 | 0.7 | 0 | 1.9 | 0.076 | 11 | 34 | 0.9978 | 3.51 | 0.56 | 9.4 | 5 | red | |
7.8 | 0.88 | 0 | 2.6 | 0.098 | 25 | 67 | 0.9968 | 3.2 | 0.68 | 9.8 | 5 | red | |
7.8 | 0.76 | 0.04 | 2.3 | 0.092 | 15 | 54 | 0.997 | 3.26 | 0.65 | 9.8 | 5 | red | |
11.2 | 0.28 | 0.56 | 1.9 | 0.075 | 17 | 60 | 0.998 | 3.16 | 0.58 | 9.8 | 6 | red | |
7.4 | 0.7 | 0 | 1.9 | 0.076 | 11 | 34 | 0.9978 | 3.51 | 0.56 | 9.4 | 5 | red | |
7.4 | 0.66 | 0 | 1.8 | 0.075 | 13 | 40 | 0.9978 | 3.51 | 0.56 | 9.4 | 5 | red | |
7.9 | 0.6 | 0.06 | 1.6 | 0.069 | 15 | 59 | 0.9964 | 3.3 | 0.46 | 9.4 | 5 | red | |
7.3 | 0.65 | 0 | 1.2 | 0.065 | 15 | 21 | 0.9946 | 3.39 | 0.47 | 10 | 7 | red | |
7.8 | 0.58 | 0.02 | 2 | 0.073 | 9 | 18 | 0.9968 | 3.36 | 0.57 | 9.5 | 7 | red |
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id | date | time | continent_code | country_name | country_code | state/province | population | city/town | distance | location_description | latitude | longitude | geolocation | hazard_type | landslide_type | landslide_size | trigger | storm_name | injuries | fatalities | source_name | source_link | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
34 | 3/2/07 | Night | NA | United States | US | Virginia | 16000 | Cherry Hill | 3.40765 | Unknown | 38.6009 | -77.2682 | (38.600900000000003, -77.268199999999993) | Landslide | Landslide | Small | Rain | NBC 4 news | http://www.nbc4.com/news/11186871/detail.html | ||||
42 | 3/22/07 | NA | United States | US | Ohio | 17288 | New Philadelphia | 3.33522 | 40.5175 | -81.4305 | (40.517499999999998, -81.430499999999995) | Landslide | Landslide | Small | Rain | Canton Rep.com | http://www.cantonrep.com/index.php?ID=345054&Category=9&subCategoryID=0 | ||||||
56 | 4/6/07 | NA | United States | US | Pennsylvania | 15930 | Wilkinsburg | 2.91977 | Urban area | 40.4377 | -79.916 | (40.4377, -79.915999999999997) | Landslide | Landslide | Small | Rain | The Pittsburgh Channel.com | https://web.archive.org/web/20080423132842/http://www.thepittsburghchannel.com/news/11846833/de |
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id,country,description,designation,points,price,province,region_1,region_2,taster_name,taster_twitter_handle,title,variety,winery | |
10177,France,"Shows a bit of struck match character on the nose, but nothing that a quick splash decanting won't solve. Once past that, this 50-50 blend of Grenache and Syrah displays a lively mix of herbs and cherries, supple tannins and a long, easygoing finish.",Le Domaine,87,17.0,Rhône Valley,Ventoux,,Joe Czerwinski,@JoeCz,Le Grand Vallat 2009 Le Domaine Red (Ventoux),Rhône-style Red Blend,Le Grand Vallat | |
41284,Germany,"Representing a bit of a chink in von Kesselstatt's impressive array of 2009s, this wine features slightly restrained notes of pineapple and green apple in a slightly uneasy alliance of sweet and sour. Drink up.",Piesporter Goldtröpfchen Kabinett,86,30.0,Mosel,,,Joe Czerwinski,@JoeCz,Reichsgraf von Kesselstatt 2009 Piesporter Goldtröpfchen Kabinett Riesling (Mosel),Riesling,Reichsgraf von Kesselstatt | |
23997,Spain,"This five-grape blend is harmonious, with aromas o |
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// address é o endereço na coluna location, geoData é o mapa de Abila (Abila.geojson) carregado com a função d3.json | |
let extractFename = st => st.split(" ")[st.split(" ").length - 2]; | |
let streetExtent = p => d3.extent([p.FRADDL, p.FRADDR, p.TOADDL, p.TOADDR]) | |
function geocode(address, geoData) { | |
let isCorner = address.split("/").length > 1; | |
let coords = []; | |
if (isCorner) { |
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conda create --name blocks_scenario | |
conda activate blocks_scenario | |
pip install streamlit seaborn numpy pandas pillow altair scikit-learn | |
streamlit run blocks_mlvis.py | |
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"NOME" "C01_S4_1" "C02_S5_1" "C03_S6_1" "I01_S1_1" "I02_S2_1" "I03_S3_1" | |
"ENSMUSG00000000001" 82.8432383442686 84.9002088260196 80.8664436582151 70.9206916033172 68.8805244725524 62.6006763918104 | |
"ENSMUSG00000000028" 7.66591889112366 8.42759570639327 8.91798049586242 9.79733762566968 8.39027177118474 9.75755585558136 | |
"ENSMUSG00000000056" 10.4169040158921 10.808933456664 11.2464290746733 5.17913382963293 5.57760576977128 5.74609503670831 | |
"ENSMUSG00000000078" 62.8510507997901 65.7516049332479 69.3151639538751 48.6043806961205 51.5131460686186 50.7281895300392 | |
"ENSMUSG00000000085" 3.9591803833633 3.73257223259342 3.91717839838259 3.52318912058602 3.58421232236757 3.51552766333079 | |
"ENSMUSG00000000088" 25.8241672691109 20.6091326469676 16.8634583308576 14.0642905969364 14.2161251295217 18.13815035481 | |
"ENSMUSG00000000127" 6.08333906633526 7.20533885411204 7.6865845032139 5.47053124949799 5.12710684221283 5.20795988300157 | |
"ENSMUSG00000000131" 6.14071646924213 5.81562760319105 5.99153136858192 6.3130965235046 6.09383 |
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CREATE DATABASE banco; | |
USE banco; | |
CREATE TABLE agencia( | |
numero VARCHAR(5) NOT NULL PRIMARY KEY | |
); | |
CREATE TABLE conta( | |
numero VARCHAR(7) NOT NULL, | |
numero_agencia VARCHAR(5), |
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