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Description
ANTRO MAXILAR. SENOS PARANASALES. CANULA DE SUCCION, CONICA MALEABLE, DIAMETRO 2.5 MM.
IMSS product code
537.173.1976.01
Each circle represents one of the 8 purchases of CÁNULAS made by the IMSS between 2010 and 2018.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| H. de Especialidades No. 14 "Adolfo Ruíz Cortines", Veracruz. Umae Especialidades Veracruz (nte.) | Veracruz | 2 | 1,670.4 MXN | 230.4 MXN | 16 % | 0.32 | 2 de febrero de 2011 |
| Delegación Estado de México Poniente Almacen Delegacional En El Estado De Mexico Poniente | Estado de México | 1 | 1,670.4 MXN | 278.4 MXN | 20 % | 0.4 | 6 de junio de 2014 |
| Delegación Guanajuato Almacen Delegacional En Guanajuato | Guanajuato | 1 | 4,524 MXN | 333.3 MXN | 7.95 % | 0.159 | 17 de agosto de 2018 |
| Delegación Guerrero Almacen Delegacional En Guerrero | Guerrero | 1 | 2,767.8 MXN | 672.4 MXN | 32.1 % | 0.321 | 1 de junio de 2018 |
| Delegación Hidalgo Almacen Delegacional En Hidalgo | Hidalgo | 1 | 3,548.7 MXN | 489.5 MXN | 16 % | 0.64 | 6 de agosto de 2015 |
| Delegación Tamaulipas Almacen Delegacional En Tamaulipas | Tamaulipas | 1 | 835.2 MXN | 115.2 MXN | 16 % | 0.16 | 28 de septiembre de 2012 |
| Delegación Veracruz Norte Almacen Delegacional En Veracruz Norte | Veracruz | 1 | 751.7 MXN | 55.7 MXN | 8 % | 0.08 | 27 de marzo de 2014 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| QUIRURGICA ORTOPEDICA, S. A. DE C. V. | 6 | 1,013 MXN | 14 % | 1.12 | 2010 - 2018 |
| HEMOST, S. A. DE C. V. | 1 | 489.5 MXN | 16 % | 0.64 | 2015 - 2015 |
| MEDICAL CENTER DISTRIBUCION, S.A. DE C.V. | 1 | 672.4 MXN | 32.1 % | 0.321 | 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=537.173.1976.01")
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=537.173.1976.01')
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=537.173.1976.01')