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Description
CUCHILLO SCHUKNECHT, REDONDO, PARA OIDO.
IMSS product code
537.272.0317.01
Each circle represents one of the 2 purchases of CUCHILLOS made by the IMSS between 2013 and 2018.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Chihuahua Almacen Delegacional En Chihuahua | Chihuahua | 1 | 751.7 MXN | 103.7 MXN | 16 % | 0.16 | 17 de julio de 2013 |
| Delegación San Luis Potosí Almacen Delegacional En San Luis Potosi | San Luis Potosi | 1 | 1,740 MXN | 240 MXN | 16 % | 0.32 | 24 de julio de 2018 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| INSTRUMENTAL E IMPLANTES ORTOPEDICOS S.A. DE C.V. | 1 | 103.7 MXN | 16 % | 0.16 | 2013 - 2013 |
| QUIRURGICA ORTOPEDICA, S. A. DE C. V. | 1 | 240 MXN | 16 % | 0.32 | 2018 - 2018 |
Date updated in QQW
3 de octubre de 2022
Source(s)
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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=537.272.0317.01")
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=537.272.0317.01')
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=537.272.0317.01')