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Description
PINZA ROCHESTER OCHSNER, RECTA, ESTRIADA, SIN DIENTES, LONGITUD 20 CM.
IMSS product code
535.701.1310.02
Each circle represents one of the 2 purchases of PINZAS made by the IMSS between 2012 and 2013.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación San Luis Potosí Almacen Delegacional En San Luis Potosi | San Luis Potosi | 1 | 6,078.4 MXN | 838.4 MXN | 16 % | 6.4 | 25 de julio de 2012 |
| Delegación Zacatecas Almacen Delegacional En Zacatecas | Zacatecas | 1 | 469.8 MXN | 64.8 MXN | 16 % | 0.48 | 24 de marzo de 2013 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| QUIRURGICA ORTOPEDICA, S. A. DE C. V. | 1 | 64.8 MXN | 16 % | 0.48 | 2013 - 2013 |
| STATION BUSINESS GROUP AND SERVICES, S.A. DE C.V. | 1 | 838.4 MXN | 16 % | 6.4 | 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=535.701.1310.02")
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=535.701.1310.02')
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=535.701.1310.02')