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Description
COOMBS MONOESPECIFICO DE TI-PO C3D FRASCO CON 3 ML RTC.
IMSS product code
080.784.0772.01
Each circle represents one of the 13 purchases of REACTIVOS Y JUEGOS DE REACTIVOS PARA PRUEBAS ESPECÍFICAS 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, "Dr. Antonio Fraga Mouret" Centro Médico Nacional La Raza Umae Especialidades C.m.n. La Raza | Ciudad de México | 9 | 121,064.6 MXN | 19,497.4 MXN | 16.7 % | 14.7 | 19 de diciembre de 2018 |
| H. de Pediatría, Centro Médico Nacional Siglo XXI Umae Pediatria C.m.n. Siglo Xxi | Ciudad de México | 3 | 14,337.8 MXN | 2,719.3 MXN | 31.6 % | 1.43 | 27 de enero de 2014 |
| Delegación Norte del DF Almacen Delegacional En El D.f. Zona Norte | Ciudad de México | 1 | 19,936.9 MXN | 6,710.8 MXN | 50.7 % | 6.09 | 1 de enero de 2011 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| INSTRUMENTOS Y EQUIPOS FALCON, S. A. DE C. V. | 5 | 18,854.3 MXN | 25.7 % | 12.6 | 2018 - 2018 |
| ABALAT, S.A. DE C.V. | 2 | 2,423.3 MXN | 39.5 % | 1.27 | 2010 - 2014 |
| QUIMICA INDUSTRIAL Y DE SALUD, SA DE CV | 2 | 7,317.1 MXN | 28.7 % | 6.42 | 2010 - 2011 |
| DISTRIBUIDORA Y EXP. DE MEDICAMENTOS, S.A. DE C.V. | 1 | 296 MXN | 16 % | 0.16 | 2012 - 2012 |
| EIBL LABORATORIES, S.A. DE C.V. | 1 | 36.7 MXN | 15 % | 1.8 | 2009 - 2009 |
| FCD LABS, S.A. DE C.V. | 1 | - MXN | - | - | 2011 - 2011 |
| ROSE MEDICAL, S.A DE C.V | 1 | - MXN | - | - | 2018 - 2018 |
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=080.784.0772.01")
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=080.784.0772.01')
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=080.784.0772.01')