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Description
SEPARADOR CUSHING-KOCHER. LONGITUD DE VALVA 10 MM X 10 MM. DE ANCHO. LONGITUD TOTAL 175 MM.
IMSS product code
537.814.8174.01
Each circle represents one of the 2 purchases of SEPARADOR made by the IMSS between 2014 and 2017.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Durango Almacen Delegacional En Durango | Durango | 1 | 290 MXN | 40 MXN | 16 % | 0.16 | 30 de noviembre de 2017 |
| Delegación Zacatecas Almacen Delegacional En Zacatecas | Zacatecas | 1 | 208.8 MXN | 28.8 MXN | 16 % | 0.16 | 24 de marzo de 2014 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| QUIRURGICA ORTOPEDICA, S. A. DE C. V. | 2 | 68.8 MXN | 16 % | 0.32 | 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=537.814.8174.01")
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=537.814.8174.01')
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=537.814.8174.01')