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Description
ANTI-IGA CONJUGADA CON FLUO-RESCEINA, SUERO LIOFILIZADODE CONEJO RTC.
IMSS product code
080.081.1473.10
Each circle represents one of the 6 purchases of SUSTANCIAS BIOLÓGICAS ANTÍGENOS SUEROS made by the IMSS between 2009 and 2010.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| H. de Especialidades, "Dr. Bernardo Sepulveda Gutiérrez" Centro Médico Nacional Siglo XXI Umae Especialidades C.m.n. Siglo Xxi | Ciudad de México | 2 | 27,494.8 MXN | 15,184 MXN | 121.2 % | 3.69 | 2 de julio de 2010 |
| H. de Especialidades, "Lic. Ignacio García Tellez" Centro Médico Nacional de Occidente, Jalisco Umae Especialidades Jalisco | Jalisco | 2 | 77,682 MXN | - MXN | - | - | 2 de enero de 2010 |
| Delegación Sonora Almacen Delegacional En Sonora | Sonora | 1 | 8,874 MXN | 4,560.8 MXN | 105.7 % | 1.06 | 12 de enero de 2010 |
| H. de Pediatría, Centro Médico Nacional Siglo XXI Umae Pediatria C.m.n. Siglo Xxi | Ciudad de México | 1 | 11,842.8 MXN | 8,158.5 MXN | 221.4 % | 2.21 | 21 de diciembre de 2009 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| DIAGNOCELL LABORATORIOS, S.A. DE C.V. | 2 | 15,478.1 MXN | 116.1 % | 3.59 | 2010 - 2010 |
| COMERCIALIZADORA JOMAYER, S.A. DE C.V. | 1 | 4,266.8 MXN | 115.8 % | 1.16 | 2009 - 2009 |
| DESARROLLO Y TECNOLOGIA EMPRESARIAL, S.A. DE C.V. | 1 | 8,158.5 MXN | 221.4 % | 2.21 | 2009 - 2009 |
| INTERACTIVOS PARA LABORATORIO S.A. DE C.V. | 1 | - MXN | - | - | 2009 - 2009 |
| RAMIREZ ROMERO JESUS ARMANDO | 1 | - MXN | - | - | 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=080.081.1473.10")
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=080.081.1473.10')
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=080.081.1473.10')