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Description
ANTISUERO CONTRA CD 45 R RTC
IMSS product code
080.081.4931.10
Each circle represents one of the 16 purchases of SUSTANCIAS BIOLÓGICAS made by the IMSS between 2009 and 2018.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| H. de Especialidades, "Gral. Div. Manuel Avila Camacho", Centro Médico Nacional, Puebla Umae Especialidades Puebla | Puebla | 9 | 107,206.3 MXN | 10,685.2 MXN | 10 % | 2.44 | 29 de enero de 2018 |
| H. de Cardiología, Centro Médico Nacional Siglo XXI Umae Cardiologia C.m.n. Siglo Xxi | Ciudad de México | 4 | 59,646.9 MXN | 10,237.4 MXN | 21.4 % | 1.99 | 8 de junio de 2012 |
| Delegación Sonora Almacen Delegacional En Sonora | Sonora | 2 | 13,045.3 MXN | 4,057.6 MXN | 45 % | 0.9 | 30 de mayo de 2014 |
| Delegación Quintana Roo Almacen Delegacional En Quintana Roo | Quintana Roo | 1 | 18,422.4 MXN | 4,891.3 MXN | 36.1 % | 1.08 | 1 de enero de 2010 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| DIAGNOCELL LABORATORIOS, S.A. DE C.V. | 6 | 11,956.7 MXN | 19.6 % | 2.58 | 2009 - 2012 |
| CORPORACION MEDIGROUP S. DE R.L. DE C.V. | 4 | 4,441.2 MXN | 12 % | 0.96 | 2013 - 2018 |
| RAMIREZ ROMERO JESUS ARMANDO | 3 | 4,881.5 MXN | 8.39 % | 1.14 | 2010 - 2015 |
| CUBILLAS PUNARO MARCO ANTONIO | 2 | 3,549.9 MXN | 32.2 % | 0.804 | 2012 - 2014 |
| BIOTECNOLOGIA MEDICA Y DIAGNOSTICA, S.A. DE C.V. | 1 | 5,042.3 MXN | 46.4 % | 0.928 | 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=080.081.4931.10")
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=080.081.4931.10')
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=080.081.4931.10')