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Description
SEPARADOR VOLKMANN, DE 6 GARFIOS AGUDOS, LONGITUD DE 200 A 220 MM.
IMSS product code
537.814.0635.01
Each circle represents one of the 6 purchases of SEPARADOR DE USO GENERAL 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 | 4 | 3,744.5 MXN | 598.5 MXN | 18.9 % | 3.03 | 13 de marzo de 2017 |
| Delegación Coahuila Almacen Delegacional En Coahuila | Coahuila | 1 | 696 MXN | 94 MXN | 15.6 % | 0.625 | 4 de noviembre de 2015 |
| Delegación Durango Almacen Delegacional En Durango | Durango | 1 | 382.8 MXN | - MXN | - | - | 30 de septiembre de 2016 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| QUIRURGICA ORTOPEDICA, S. A. DE C. V. | 6 | 692.5 MXN | 15.2 % | 3.65 | 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=537.814.0635.01")
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=537.814.0635.01')
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=537.814.0635.01')