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Description
FITOHEMAGLUTININA M RTC.
IMSS product code
080.832.1012.10
Each circle represents one of the 18 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. General, "Dr. Gaudencio González Garza" Centro Médico Nacional La Raza Umae Hospital General C.m.n. La Raza | Ciudad de México | 16 | 205,334.9 MXN | 31,313.6 MXN | 32 % | 67.1 | 21 de noviembre de 2018 |
| Delegación Chihuahua Almacen Delegacional En Chihuahua | Chihuahua | 1 | 1,577.6 MXN | 217.6 MXN | 16 % | 0.16 | 20 de octubre de 2011 |
| H. de Pediatría, Centro Médico Nacional Siglo XXI Umae Pediatria C.m.n. Siglo Xxi | Ciudad de México | 1 | 18,792 MXN | 3,364.8 MXN | 21.8 % | 5.23 | 27 de marzo de 2018 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| ODICALP, S.A. DE C.V. | 5 | 9,408.3 MXN | 19.9 % | 20 | 2015 - 2018 |
| ACCESORIOS PARA LABORATORIOS, S.A. DE C.V. | 4 | 11,395.5 MXN | 82.8 % | 29.1 | 2009 - 2010 |
| ABASTECEDORA INTEGRAL ESPECIALIZADA, SA DE CV | 2 | 7,482.6 MXN | 18.9 % | 8.43 | 2013 - 2018 |
| CONTROL TECNICO Y REPRESENTACIONES, S. A. DE C. V. | 2 | - MXN | - | - | 2009 - 2010 |
| EMPRESAS ERI, S. A. DE C. V. | 2 | 3,536 MXN | 24.8 % | 9.91 | 2014 - 2014 |
| DISTRIBUIDORA SIMMAG, S. A. DE C. V. | 1 | 217.6 MXN | 16 % | 0.16 | 2011 - 2011 |
| JUAREZ GONZALEZ AMADA | 1 | 2,856 MXN | 16 % | 4.8 | 2012 - 2012 |
| LABORATORIOS AULIS, S. A. DE C. V. | 1 | - MXN | - | - | 2014 - 2014 |
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=080.832.1012.10")
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=080.832.1012.10')
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=080.832.1012.10')