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Description
CUCHILLO PLESTER, EN FORMA DE HOZ.
IMSS product code
537.272.0358.01
Each circle represents one of the 3 purchases of CUCHILLOS made by the IMSS between 2014 and 2017.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Veracruz Norte Almacen Delegacional En Veracruz Norte | Veracruz | 1 | 939.6 MXN | 129.6 MXN | 16 % | 0.16 | 27 de marzo de 2014 |
| Delegación Yucatán Almacen Delegacional En Yucatan | Yucatán | 1 | 1,531.2 MXN | 211.2 MXN | 16 % | 0.16 | 16 de mayo de 2016 |
| Delegación Zacatecas Almacen Delegacional En Zacatecas | Zacatecas | 1 | 1,015 MXN | 140 MXN | 16 % | 0.16 | 6 de julio de 2017 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| QUIRURGICA ORTOPEDICA, S. A. DE C. V. | 3 | 480.8 MXN | 16 % | 0.48 | 2014 - 2017 |
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=537.272.0358.01")
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=537.272.0358.01')
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=537.272.0358.01')