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Description
LANCETA AUTOMATICA, PARA PUNCION CAPILAR, ESTERIL, DESECHABLE, PARA USO PEDIATRICOCON 2.4 MM DE PENETRACION.DISPARADOR DE PLASTICO.
IMSS product code
080.574.0222.02
Each circle represents one of the 2 purchases of LANCETAS made by the IMSS between 2010 and 2012.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Sinaloa Almacen Delegacional En Sinaloa | Sinaloa | 1 | 3,356.5 MXN | 463 MXN | 16 % | 2.4 | 9 de junio de 2010 |
| Delegación Sonora Almacen Delegacional En Sonora | Sonora | 1 | 2,262 MXN | 312 MXN | 16 % | 0.32 | 30 de abril de 2012 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| DIAGNOSTICA COMERCIAL, S.A. DE C.V. | 1 | 463 MXN | 16 % | 2.4 | 2010 - 2010 |
| MEDIEMEX PHARMA, S.A. DE C.V. | 1 | 312 MXN | 16 % | 0.32 | 2012 - 2012 |
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=080.574.0222.02")
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=080.574.0222.02')
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=080.574.0222.02')