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Description
VALVULA PARA DERIVACION DE -LIQUIDO CEFALORRAQUIDEO DEDIAFRAGMA PRESION MEDIA DE60 A 80 MM DE H20 TAMA\OADULTO, CATETER CEFALICO OVENTRICULAR DE 30 CM MINIMODE LONGITUD, CATETER PERITONEAL DE 106 CM MINIMO DE LON
IMSS product code
060.932.2649.10
Each circle represents one of the 2 purchases of VÁLVULAS made by the IMSS between 2009 and 2010.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Sonora Almacen Delegacional En Sonora | Sonora | 2 | 17,581.2 MXN | 2,371.2 MXN | 15.5 % | 0.62 | 28 de julio de 2010 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| MAYOREO MEDICO DEL NOROESTE, S.A. DE C.V. | 2 | 2,371.2 MXN | 15.5 % | 0.62 | 2009 - 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=060.932.2649.10")
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=060.932.2649.10')
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=060.932.2649.10')