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Description
ALFA 1 ANTIQUIMOTRIPSINA RTC.
IMSS product code
080.074.0656.10
Each circle represents one of the 17 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 | 38,230.6 MXN | 5,024.4 MXN | 15.3 % | 3.2 | 29 de enero de 2018 |
| H. de Especialidades, "Lic. Ignacio García Tellez" Centro Médico Nacional de Occidente, Jalisco Umae Especialidades Jalisco | Jalisco | 6 | 14,153.9 MXN | 3,439.8 MXN | 24.7 % | 1.48 | 5 de octubre de 2016 |
| Delegación Quintana Roo Almacen Delegacional En Quintana Roo | Quintana Roo | 1 | 11,607.2 MXN | 1,498.5 MXN | 14.8 % | 0.445 | 1 de enero de 2010 |
| H. de Especialidades Cardiológicas No. 34, Centro Médico Nacional del Noreste. Umae Cardiologia En Nuevo Leon | Nuevo León | 1 | 5,568.3 MXN | 2,244.2 MXN | 67.5 % | 0.675 | 1 de noviembre de 2018 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| DIAGNOCELL LABORATORIOS, S.A. DE C.V. | 11 | 8,449 MXN | 20.7 % | 4.39 | 2009 - 2016 |
| CORPORACION MEDIGROUP S. DE R.L. DE C.V. | 4 | 855.8 MXN | 13.6 % | 0.543 | 2013 - 2018 |
| GRUPO JIM PERTH, S.A. DE C.V. | 1 | 2,244.2 MXN | 67.5 % | 0.675 | 2018 - 2018 |
| RAMIREZ ROMERO JESUS ARMANDO | 1 | 658 MXN | 19.5 % | 0.195 | 2010 - 2010 |
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=080.074.0656.10")
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=080.074.0656.10')
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=080.074.0656.10')