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Description
PLACA CON PANEL DE CELULAS PARA PRUEBAS CRUZADAS DE LINFOCITOS RTC.
IMSS product code
080.081.4121.10
Each circle represents one of the 8 purchases of SUSTANCIAS BIOLÓGICAS ANTÍGENOS SUEROS made by the IMSS between 2009 and 2011.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Chiapas Almacen Subdelegacional En Tapachula, Chiapas | Chiapas | 5 | 6,043.2 MXN | - MXN | - | - | 26 de enero de 2009 |
| H. de Especialidades No. 2, "Luis Donaldo Colosio Murrieta", Centro Médico Nacional del Noroeste, Cd. Obregón Sonora Umae Especialidades Sonora | Sonora | 1 | 47,955 MXN | 40,698.4 MXN | 560.8 % | 11.2 | 22 de diciembre de 2009 |
| H. de Especialidades Núm 25, Monterrey, N.L. Umae Especialidades Nuevo Leon | Nuevo León | 1 | 109,040 MXN | 15,040 MXN | 16 % | 6.4 | 9 de septiembre de 2010 |
| H. de Especialidades Núm 71, Torreón, Coahuila Umae Especialidades Coahuila | Coahuila | 1 | 2 millones MXN | 282,240 MXN | 16 % | 115.2 | 15 de febrero de 2011 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| ZU?IGA PALACIOS JESUS ROBERTO | 3 | - MXN | - | - | 2009 - 2009 |
| ABALAT, S.A. DE C.V. | 2 | 297,280 MXN | 16 % | 121.6 | 2010 - 2011 |
| DISTRIBUIDORA MEDICA GRIJALVA SA DE CV | 2 | - MXN | - | - | 2009 - 2009 |
| DIAGNOSTICA NUEVA ACCION, S. A. DE C. V. | 1 | 40,698.4 MXN | 560.8 % | 11.2 | 2009 - 2009 |
Date updated in QQW
3 de octubre de 2022
Source(s)
Part of the project
Organization responsible for the import
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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=080.081.4121.10")
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=080.081.4121.10')
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=080.081.4121.10')