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Description
BOLSAS PARA RECOLECTAR Y FRACCIONAR SANGRE. BOLSA TRIPLE: UNA PARA RECOLECTAR 450 - 500 ML CON 67.5 -75 ML DE SOLUCION ACD Y UN TUBO COLECTOR INTEGRAL CON AGUJA NO. 15 O 16 G, DOS BOLSAS DE 300 ML UNIDAS A LA PRIMERA POR TUBOS.
IMSS product code
080.098.0096.11
Each circle represents one of the 68 purchases of BOLSAS made by the IMSS between 2009 and 2018.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Guerrero Almacen Delegacional En Guerrero | Guerrero | 15 | 1.4 millones MXN | 288,363.9 MXN | 23.5 % | 1,654.6 | 3 de octubre de 2018 |
| H. de Traumatología y Ortopedia, "Gral. Div. Manuel Avila Camacho", Centro Médico Nacional, Puebla Umae Traumatologia Y Ortopedia Puebla | Puebla | 11 | 478,801.6 MXN | 14,303.8 MXN | 3.82 % | 123.7 | 21 de enero de 2011 |
| Delegación Guerrero | Guerrero | 10 | 12,452.5 MXN | 662.2 MXN | 29.1 % | 3.37 | 8 de noviembre de 2012 |
| Delegación Zacatecas Almacen Delegacional En Zacatecas | Zacatecas | 8 | 597,976.5 MXN | 61,913.1 MXN | 12.8 % | 373.1 | 28 de mayo de 2018 |
| Delegación Norte del DF Almacen Delegacional En El D.f. Zona Norte | Ciudad de México | 7 | 175,630 MXN | 29,762.7 MXN | 15.7 % | 257.4 | 1 de enero de 2013 |
| Delegación Veracruz Sur Almacen Delegacional En Veracruz Sur | Veracruz | 4 | 1.2 millones MXN | 210,822.5 MXN | 18.9 % | 1,364 | 5 de marzo de 2013 |
| Delegación San Luis Potosí Almacen Delegacional En San Luis Potosi | San Luis Potosi | 3 | 337,188.8 MXN | 71,252.7 MXN | 32.7 % | 616.2 | 3 de junio de 2010 |
| Delegación Puebla Almacen Delegacional En Puebla | Puebla | 2 | 55,777.4 MXN | 4,440.2 MXN | 8.85 % | 38.4 | 29 de octubre de 2010 |
| Delegación Baja California Almacen Delegacional En Baja California Norte | Baja California | 1 | 50,325 MXN | 11,589.2 MXN | 29.9 % | 89.8 | 4 de marzo de 2009 |
| Delegación Campeche Almacen Delegacional En Campeche | Campeche | 1 | 551,568.8 MXN | 56,138.5 MXN | 11.3 % | 434.8 | 1 de abril de 2009 |
| Delegación Chiapas Almacen Subdelegacional En Tapachula, Chiapas | Chiapas | 1 | 3,076.3 MXN | 731.2 MXN | 31.2 % | 5.3 | 20 de mayo de 2013 |
| Delegación Oaxaca Almacen Delegacional En Oaxaca | Oaxaca | 1 | 5,104 MXN | 2,345 MXN | 85 % | 17 | 26 de febrero de 2013 |
| Delegación Sinaloa Almacen Delegacional En Sinaloa | Sinaloa | 1 | 6,050.6 MXN | 1,402.3 MXN | 30.2 % | 10.9 | 3 de agosto de 2009 |
| Delegación Sonora Almacen Delegacional En Sonora | Sonora | 1 | 8,648 MXN | 3,483.2 MXN | 67.4 % | 27 | 24 de abril de 2009 |
| Delegación Tabasco Almacen Delegacional En Tabasco | Tabasco | 1 | 4,874.4 MXN | 1,849.8 MXN | 61.2 % | 14.1 | 23 de mayo de 2011 |
| Delegación Veracruz Norte Almacen Delegacional En Veracruz Puerto (ext. Bienes Terapeuticos) | Veracruz | 1 | 44,413.4 MXN | - MXN | - | - | 28 de febrero de 2012 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| PHARMACUR, S.A. DE C.V. | 11 | 231,791.4 MXN | 11.9 % | 1,656.1 | 2009 - 2018 |
| SOLUCIONES Y EQUIPOS DE PUEBLA, S.A. DE C.V. | 11 | 13,866.2 MXN | 3.63 % | 119.9 | 2010 - 2011 |
| COMERCIALIZADORA MEDICA Y LABORATORIOS, S.A. DE C. | 10 | - MXN | - | - | 2012 - 2013 |
| INSTRUMENTOS Y EQUIPOS FALCON, S. A. DE C. V. | 9 | 332,996.8 MXN | 27.4 % | 1,778 | 2012 - 2017 |
| CONTROL TECNICO Y REPRESENTACIONES, S. A. DE C. V. | 4 | 92,963.1 MXN | 30.4 % | 802.6 | 2010 - 2011 |
| SOLANO MARTINEZ IBETH | 4 | 15,547.2 MXN | 19.5 % | 120.4 | 2009 - 2009 |
| CHALLA LABORATORIOS, SA DE CV | 2 | 29,762.7 MXN | 55 % | 257.4 | 2010 - 2010 |
| DIAGNOSTICA COMERCIAL, S.A. DE C.V. | 2 | 4,885.6 MXN | 48.8 % | 37.8 | 2009 - 2009 |
| ARTICULOS MEDICOSY HOSPITALARIOS, S.A DE.C.V | 1 | - MXN | - | - | 2014 - 2014 |
| CONSORCIO HOSPITALARIO S. A. DE C. V. | 1 | - MXN | - | - | 2013 - 2013 |
| CORPORACION ARMO, S.A. DE C.V. | 1 | - MXN | - | - | 2011 - 2011 |
| CRUZ TOLEDO MARIA DEL CARMEN | 1 | 2,345 MXN | 85 % | 17 | 2013 - 2013 |
| DISAMED, S.A. DE C.V. | 1 | 9,957.7 MXN | 17.4 % | 40.3 | 2018 - 2018 |
| GRIFOLS MEXICO, SA DE CV | 1 | 5,234.4 MXN | 45.3 % | 45.3 | 2010 - 2010 |
| HI-TEC MEDICAL DEL SUR, S.A. DE C.V. | 1 | 4,841.8 MXN | 19.4 % | 41.9 | 2010 - 2010 |
| HOUSE MEDICAL CENTER, S. A. DE C. V. | 1 | 731.2 MXN | 31.2 % | 5.3 | 2013 - 2013 |
| MEDIGROUP DEL PACIFICO, S.A. DE C.V. | 1 | 11,589.2 MXN | 29.9 % | 89.8 | 2009 - 2009 |
| NOBLE MORENO CINTHYA VIRIDIANA | 1 | - MXN | - | - | 2010 - 2010 |
| PROMELAB COMERCIALIZADORA, S.A. DE C.V. | 1 | 1,849.8 MXN | 61.2 % | 14.1 | 2011 - 2011 |
| QUIMICA EMDRIAN, S. A. DE C. V. | 1 | - MXN | - | - | 2010 - 2010 |
| SOPORTE MEDICO INTEGRAL, S.A. DE C.V. | 1 | - MXN | - | - | 2015 - 2015 |
| SUSTANCIAS QUIMICAS Y EMPAQUES, S.A. DE C.V. | 1 | 36.1 MXN | 0.325 % | 0.312 | 2010 - 2010 |
| VAZQUEZ GAYTAN ENRIQUE | 1 | 662.2 MXN | 290.7 % | 3.37 | 2012 - 2012 |
Date updated in QQW
3 de octubre de 2022
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Add this to your code:
library(rjson)
#Read JSON data into R
data <- fromJSON(file="http://localhost:10010/v3/products?limit=1&sort=&embed=true&db_prefix=&id=080.098.0096.11")
Add this to your code:
import json, urllib
#Read JSON data into python
response = urllib2.urlopen('http://localhost:10010/v3/products?limit=1&sort=&embed=true&db_prefix=&id=080.098.0096.11')
data = json.loads(response.read())
Add this to your code:
import pandas as pd
#Read JSON data into pandas
df = pd.read_json('http://localhost:10010/v3/products?limit=1&sort=&embed=true&db_prefix=&id=080.098.0096.11')