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Description
CATETER DILATADOR DE VIAS BILIARES, DE 200 CM DE LONGITUD. ESTERIL Y DESECHABLE. TIPO: COTTON. CALIBRE 8.5 FR.
IMSS product code
060.165.0161.01
Each circle represents one of the 14 purchases of CATÉTERES made by the IMSS between 2009 and 2018.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Chihuahua Almacen Delegacional En Chihuahua | Chihuahua | 8 | 347,396.4 MXN | 51,827.9 MXN | 32.4 % | 48.4 | 8 de mayo de 2015 |
| Delegación Guanajuato Almacen Delegacional En Guanajuato | Guanajuato | 3 | 80,771 MXN | 11,038.5 MXN | 15.7 % | 7.58 | 16 de enero de 2018 |
| Oficinas Centrales Ofnas Centrales -reforma- Coordinacion De Abastecimiento | 2 | 120,377.2 MXN | 11,685.9 MXN | 10.8 % | 10.4 | 19 de diciembre de 2011 | |
| Delegación Jalisco Almacen Delegacional En Jalisco | Jalisco | 1 | 13,920 MXN | 2,758.4 MXN | 24.7 % | 2.47 | 16 de mayo de 2014 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| ENDOMEDICA,S. A. DE C. V. | 6 | 34,355.7 MXN | 16 % | 31 | 2009 - 2017 |
| BOSTON SCIENTIFIC DE MEXICO, S. A. DE C. V. | 4 | 23,110.1 MXN | 14.6 % | 20.7 | 2011 - 2015 |
| GRUPO EMEQUR, S.A. DE C.V. | 2 | 3,902 MXN | 20.4 % | 2.95 | 2014 - 2018 |
| CONTROL SCIENTIFIC, S.A. DE C.V. | 1 | 6,421.9 MXN | 143.3 % | 5.73 | 2012 - 2012 |
| SUMINISTRO MEDICO AVANZADO S.DE R.L. DE C.V. | 1 | 9,521.1 MXN | 14.2 % | 8.53 | 2014 - 2014 |
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=060.165.0161.01")
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=060.165.0161.01')
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=060.165.0161.01')