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Description
CATETER DE SILICON DE DOS LUMENES CON TAPON ESTERIL DESECHABLE CAL 7 FR LONG 9 0 CMTIPO HICHMAN.
IMSS product code
060.167.7875.10
Each circle represents one of the 3 purchases of CATÉTERES made by the IMSS between 2010 and 2013.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| H. de Pediatría, Centro Médico Nacional Siglo XXI Umae Pediatria C.m.n. Siglo Xxi | Ciudad de México | 2 | 14,099.2 MXN | 1,944.7 MXN | 16 % | 0.64 | 31 de enero de 2013 |
| Delegación Baja California Almacen Delegacional En Baja California Norte | Baja California | 1 | 4,399.5 MXN | 436 MXN | 11 % | 0.11 | 21 de mayo de 2010 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| DEVELOMENT INSERTION MATERIAL & ACCESS CARE, SA. D | 2 | 1,944.7 MXN | 16 % | 0.64 | 2012 - 2013 |
| RIOS MALDONADO MIGUEL | 1 | 436 MXN | 11 % | 0.11 | 2010 - 2010 |
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=060.167.7875.10")
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=060.167.7875.10')
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=060.167.7875.10')