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Description
ANTISUERO ANTI IGM. CONJUGADO CON FLUORESCEINA. SUERO LIOFILIZADO DE CONEJO. PARA MINIMO 125 PRUEBAS. FRASCO CON 1 ML. RTC.
IMSS product code
080.081.1507.12
Each circle represents one of the 4 purchases of SUSTANCIAS BIOLÓGICAS ANTÍGENOS SUEROS made by the IMSS between 2011 and 2018.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Sonora Almacen Delegacional En Sonora | Sonora | 1 | 8,952.1 MXN | 1,234.8 MXN | 16 % | 0.16 | 23 de marzo de 2011 |
| H. de Especialidades, "Lic. Ignacio García Tellez" Centro Médico Nacional de Occidente, Jalisco Umae Especialidades Jalisco | Jalisco | 1 | 36,398.4 MXN | 5,020.5 MXN | 16 % | 0.64 | 16 de diciembre de 2013 |
| H. de Pediatría, Centro Médico Nacional Siglo XXI Umae Pediatria C.m.n. Siglo Xxi | Ciudad de México | 1 | 10,959.1 MXN | 1,511.6 MXN | 16 % | 0.16 | 27 de marzo de 2018 |
| Oficinas Centrales Ofnas Centrales -reforma- Coordinacion De Abastecimiento | 1 | 752,093.4 MXN | 103,737 MXN | 16 % | 17.3 | 19 de diciembre de 2011 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| ABASTECEDORA INTEGRAL ESPECIALIZADA, SA DE CV | 1 | 1,511.6 MXN | 16 % | 0.16 | 2018 - 2018 |
| CONTROL TECNICO Y REPRESENTACIONES, S. A. DE C. V. | 1 | 103,737 MXN | 16 % | 17.3 | 2011 - 2011 |
| DIAGNOCELL LABORATORIOS, S.A. DE C.V. | 1 | 1,234.8 MXN | 16 % | 0.16 | 2011 - 2011 |
| RAMIREZ ROMERO JESUS ARMANDO | 1 | 5,020.5 MXN | 16 % | 0.64 | 2013 - 2013 |
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=080.081.1507.12")
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=080.081.1507.12')
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=080.081.1507.12')