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Description
ENSAYO DE HEMAGLUTINACION PARA LA DEMOSTRACION RAPIDADEL FACTOR DE COAGULACION PARA LA IDENTIFICACION DE ESTAFILOCOCOS RTC.
IMSS product code
080.081.4352.10
Each circle represents one of the 8 purchases of SUSTANCIAS BIOLÓGICAS made by the IMSS between 2009 and 2015.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Jalisco Almacen Delegacional En Jalisco | Jalisco | 2 | 41,220.6 MXN | 3,496.2 MXN | 9.31 % | 2.14 | 10 de abril de 2015 |
| Delegación Sur del DF Almacen Delegacional En El D.f. Zona Sur | Ciudad de México | 2 | 47,502 MXN | 8,209.5 MXN | 20.8 % | 4.99 | 27 de febrero de 2015 |
| H. de Gineco Obstetricia Núm. 4 "Dr. Luis Castelazo Ayala" Umae Gineco - Obstetricia No. 4 (d.f. Sur) | Ciudad de México | 2 | 32,796 MXN | 4,827.9 MXN | 35.2 % | 3.85 | 22 de enero de 2013 |
| Delegación Chiapas Almacen Subdelegacional En Tapachula, Chiapas | Chiapas | 1 | 7,130.6 MXN | 983.5 MXN | 16 % | 0.64 | 18 de abril de 2011 |
| Oficinas Centrales Ofnas Centrales -reforma- Coordinacion De Abastecimiento | 1 | 38,513.2 MXN | 5,312.2 MXN | 16 % | 3.36 | 19 de diciembre de 2011 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| BIO LEBEN, S.A. DE C.V. | 4 | 12,634.3 MXN | 26.1 % | 7.78 | 2011 - 2015 |
| PUBLISALUD, S. A. DE C. V. | 2 | 7,414.5 MXN | 16.7 % | 5.5 | 2009 - 2013 |
| COGLOBALIX SA DE CV | 1 | 983.5 MXN | 16 % | 0.64 | 2011 - 2011 |
| MARCAS ESPECIALIZADAS EN DIAGNOSTICO Y REPRESENTAC | 1 | 1,797 MXN | 8.78 % | 1.05 | 2015 - 2015 |
Date updated in QQW
3 de octubre de 2022
Source(s)
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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=080.081.4352.10")
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=080.081.4352.10')
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=080.081.4352.10')