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Description
BOLSAS PARA FRACCIONAR SANGRE. TRIPLE: CONTIENE UNA BOLSA PRIMARIA DE 450-500 ML CON 63 A 70 ML DE SOLUCION ANTICOAGULANTE CPD, CONECTADA A UN TUBO COLECTOR INTEGRAL CON AGUJA DE 15 O 16 G Y A UN SISTEMA SECUNDARIO FORMADO POR DOS
IMSS product code
080.098.0203.04
Each circle represents one of the 23 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 Yucatán Almacen Delegacional En Yucatan | Yucatán | 9 | 1.7 millones MXN | 225,773.1 MXN | 13.2 % | 1,543.6 | 7 de marzo de 2018 |
| Delegación Tamaulipas Almacen Delegacional En Tamaulipas | Tamaulipas | 8 | 1.4 millones MXN | 225,069.9 MXN | 60.2 % | 1,995.2 | 30 de agosto de 2017 |
| Delegación Yucatán | Yucatán | 2 | 5,846.4 MXN | 0.000000000000909 MXN | 0.0000000000000104 % | 0.00000000000000505 | 17 de junio de 2016 |
| Delegación Chiapas Almacen Subdelegacional En Tapachula, Chiapas | Chiapas | 1 | 14,866.6 MXN | 4,161.1 MXN | 38.9 % | 28 | 20 de mayo de 2013 |
| Delegación Durango Almacen Delegacional En Durango | Durango | 1 | 241,762.8 MXN | 34,752.8 MXN | 16.8 % | 451.3 | 9 de enero de 2009 |
| Delegación Estado de México Oriente Almacen Delegacional En Estado De Mexico Oriente | Estado de México | 1 | 12,504.8 MXN | - MXN | - | - | 12 de febrero de 2013 |
| Delegación Veracruz Norte Almacen Delegacional En Veracruz Norte | Veracruz | 1 | 17,441.8 MXN | 4,952.1 MXN | 39.6 % | 33.3 | 21 de marzo de 2013 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| PHARMACUR, S.A. DE C.V. | 8 | 199,776.8 MXN | 18.3 % | 1,405.1 | 2010 - 2018 |
| CONTROL TECNICO Y REPRESENTACIONES, S. A. DE C. V. | 3 | 98,491.5 MXN | 28.3 % | 756.2 | 2010 - 2013 |
| ABASTECEDOR HOSPITALARIO DEL SURESTE, S.A. DE C.V. | 2 | 0.000000000000909 MXN | 0.0000000000000104 % | 0.00000000000000505 | 2016 - 2016 |
| MIGUEL ANGEL ROSADO MADERA | 2 | 63,213.8 MXN | 15.7 % | 389.4 | 2013 - 2014 |
| PRODUCTOS MEDICOS ALLO, S.A. DE C.V. | 2 | 51,359.9 MXN | 183.7 % | 666.9 | 2009 - 2009 |
| COMERCIALIZADORA MEDICA Y LABORATORIOS, S.A. DE C. | 1 | - MXN | - | - | 2013 - 2013 |
| CONSORCIO HOSPITALARIO S. A. DE C. V. | 1 | 42,952.9 MXN | 10.1 % | 354.5 | 2012 - 2012 |
| CONTROL SCIENTIFIC, S.A. DE C.V. | 1 | 34,752.8 MXN | 16.8 % | 451.3 | 2009 - 2009 |
| FRESENIUS KABI MEXICO, S. A. DE C. V. | 1 | - MXN | - | - | 2017 - 2017 |
| HOUSE MEDICAL CENTER, S. A. DE C. V. | 1 | 4,161.1 MXN | 38.9 % | 28 | 2013 - 2013 |
| NIPRO MEDICAL DE MEXICO, S. A. DE C. V. | 1 | - MXN | - | - | 2009 - 2009 |
Date updated in QQW
3 de octubre de 2022
Source(s)
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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=080.098.0203.04")
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=080.098.0203.04')
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=080.098.0203.04')