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Description
TALLA 31.0, VOL. I, CEDULA 46.
Classification
Ropa y Telas. Ropa contractual
IMSS product code
210.005.4176.00
Each circle represents one of the 10 purchases of CALZADO PARA MEDICO RESIDENTE made by the IMSS between 2009 and 2012.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Oficinas Centrales Almacen De Programas Especiales Y Red Fria | 5 | 6,829.8 MXN | 942 MXN | 15.3 % | 4.32 | 11 de octubre de 2011 | |
| Oficinas Centrales Ofnas Centrales -reforma- Coordinacion De Abastecimiento | 2 | 11,716 MXN | 1,551.4 MXN | 8 % | 7.68 | 15 de noviembre de 2012 | |
| Delegación Morelos Almacen Delegacional En Morelos | Morelos | 1 | 568.4 MXN | 270.4 MXN | 90.7 % | 0.907 | 17 de mayo de 2012 |
| Delegación Sur del DF Almacen Delegacional En El D.f. Zona Sur | Ciudad de México | 1 | 933.8 MXN | 119.4 MXN | 14.7 % | 0.587 | 25 de mayo de 2009 |
| Delegación Veracruz Sur Almacen Delegacional En Veracruz Sur | Veracruz | 1 | 236.9 MXN | 33.3 MXN | 16.3 % | 0.163 | 1 de enero de 2009 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| ABAMCU, S. A. DE C. V. | 4 | 893.3 MXN | 16.4 % | 4.1 | 2011 - 2011 |
| BECESA, S. A. DE C. V. | 3 | 1,600.1 MXN | 9.06 % | 7.9 | 2011 - 2012 |
| BECERRA OVANDO JUAN PABLO | 1 | 119.4 MXN | 14.7 % | 0.587 | 2009 - 2009 |
| EXIMEX, S.A. DE C.V. | 1 | 33.3 MXN | 16.3 % | 0.163 | 2009 - 2009 |
| MANTENIMIENTO PREVENTIVO Y CORRECTIVO SA DE CV | 1 | 270.4 MXN | 90.7 % | 0.907 | 2012 - 2012 |
Entity type
Ropa contractual
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=210.005.4176.00")
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=210.005.4176.00')
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=210.005.4176.00')