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Description
GANCHO, DE GARFIO AFILADO, MEDIANO.
IMSS product code
537.440.1163.01
Each circle represents one of the 3 purchases of GANCHO made by the IMSS between 2016 and 2018.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Guanajuato Almacen Delegacional En Guanajuato | Guanajuato | 1 | 677.4 MXN | 93.4 MXN | 16 % | 0.32 | 20 de agosto de 2018 |
| Delegación Oaxaca Almacen Delegacional En Oaxaca | Oaxaca | 1 | 229.7 MXN | - MXN | - | - | 3 de noviembre de 2016 |
| H. de Especialidades No. 2, "Luis Donaldo Colosio Murrieta", Centro Médico Nacional del Noroeste, Cd. Obregón Sonora Umae Especialidades Sonora | Sonora | 1 | 4,912.5 MXN | 1,957.2 MXN | 66.2 % | 1.32 | 19 de julio de 2016 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| QUIRURGICA ORTOPEDICA, S. A. DE C. V. | 2 | 93.4 MXN | 8 % | 0.32 | 2016 - 2018 |
| MULTISERVICIOS METZOR, S. DE R.L. DE C.V. | 1 | 1,957.2 MXN | 66.2 % | 1.32 | 2016 - 2016 |
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=537.440.1163.01")
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=537.440.1163.01')
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=537.440.1163.01')