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Description
CINCEL GUBIA RECTO DE 10 MM. ANCHO DE HOJA, CON MANGO SINTETICO.
IMSS product code
537.191.2360.01
Each circle represents one of the 9 purchases of CINCEL made by the IMSS between 2010 and 2018.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Yucatán Almacen Delegacional En Yucatan | Yucatán | 2 | 3,666.8 MXN | 93.8 MXN | 8 % | 0.32 | 16 de mayo de 2016 |
| Delegación Zacatecas Almacen Delegacional En Zacatecas | Zacatecas | 2 | 6,431 MXN | 887 MXN | 16 % | 0.64 | 11 de mayo de 2015 |
| Delegación Aguascalientes Almacen Delegacional En Aguascalientes | Aguascalientes | 1 | 2,030 MXN | - MXN | - | - | 8 de agosto de 2018 |
| Delegación Coahuila Almacen Delegacional En Coahuila | Coahuila | 1 | 1,461.6 MXN | 201.6 MXN | 16 % | 0.16 | 6 de julio de 2010 |
| Delegación Estado de México Poniente Almacen Delegacional En El Estado De Mexico Poniente | Estado de México | 1 | 2,923.2 MXN | 1,467.5 MXN | 100.8 % | 2.02 | 6 de junio de 2014 |
| Delegación Guanajuato Almacen Delegacional En Guanajuato | Guanajuato | 1 | 7,917 MXN | 1,485.8 MXN | 23.1 % | 0.693 | 17 de agosto de 2018 |
| Delegación Quintana Roo Almacen Delegacional En Quintana Roo | Quintana Roo | 1 | 7,308 MXN | 1,008 MXN | 16 % | 0.8 | 5 de febrero de 2013 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| QUIRURGICA ORTOPEDICA, S. A. DE C. V. | 7 | 5,049.9 MXN | 26.8 % | 4.31 | 2010 - 2018 |
| ALONSO RUBIN FRANCISCO FERNANDO | 1 | - MXN | - | - | 2014 - 2014 |
| GENERA NEGOCIOS, S.A. DE C.V. | 1 | 93.8 MXN | 16 % | 0.32 | 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=537.191.2360.01")
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=537.191.2360.01')
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=537.191.2360.01')