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Description
TALLA: EXTRA GRANDE, TELA: POPELINA FALLA 80% POLIESTER 20% ALGODON, COLOR VERDE AGUA CODIGO PANTONE 13-5414 TP O TC, LOGOSIMBOLO: COLOR/COD. PANTONE VERDE 561 C O 561 U. TIPO:
Classification
Ropa y Telas. Ropa contractual
IMSS product code
210.110.2099.02
Each circle represents one of the 28 purchases of BATA TRES CUARTOS DE LARGO Y MANGA CORTA FEMENINO made by the IMSS between 2008 and 2013.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Oficinas Centrales Almacen De Programas Especiales Y Red Fria | 4 | 2,915 MXN | 402.1 MXN | 15.9 % | 4.8 | 17 de mayo de 2011 | |
| Delegación Chihuahua Almacen Delegacional En Chihuahua | Chihuahua | 2 | 499 MXN | 67.1 MXN | 15.5 % | 0.93 | 1 de abril de 2010 |
| Delegación Estado de México Poniente Almacen Delegacional En El Estado De Mexico Poniente | Estado de México | 2 | 499 MXN | 67.1 MXN | 15.5 % | 0.93 | 15 de abril de 2010 |
| Delegación Jalisco Almacen Delegacional En Jalisco | Jalisco | 2 | 729.2 MXN | 97.1 MXN | 15.5 % | 1.38 | 6 de abril de 2010 |
| Delegación Michoacán Almacen Delegacional En Michoacan | Michoacán | 2 | 499 MXN | 67.1 MXN | 15.5 % | 0.93 | 1 de enero de 2010 |
| Delegación Norte del DF Almacen Delegacional En El D.f. Zona Norte | Ciudad de México | 2 | 499 MXN | 67.1 MXN | 15.5 % | 0.93 | 26 de abril de 2010 |
| Delegación Puebla Almacen Delegacional En Puebla | Puebla | 2 | 499 MXN | 67.1 MXN | 15.5 % | 0.93 | 2 de enero de 2010 |
| Delegación San Luis Potosí Almacen Delegacional En San Luis Potosi | San Luis Potosi | 2 | 499 MXN | 67.1 MXN | 15.5 % | 0.93 | 9 de abril de 2010 |
| Delegación Sinaloa Almacen Delegacional En Sinaloa | Sinaloa | 2 | 499 MXN | 67.1 MXN | 15.5 % | 0.93 | 15 de abril de 2010 |
| Delegación Sonora Almacen Delegacional En Sonora | Sonora | 2 | 729.2 MXN | 97.1 MXN | 15.5 % | 1.38 | 23 de abril de 2010 |
| Delegación Sur del DF Almacen Delegacional En El D.f. Zona Sur | Ciudad de México | 2 | 499 MXN | 67.1 MXN | 15.5 % | 0.93 | 12 de abril de 2010 |
| Oficinas Centrales Ofnas Centrales -reforma- Coordinacion De Abastecimiento | 2 | 7,412.4 MXN | 1,022.4 MXN | 16 % | 9.6 | 4 de enero de 2013 | |
| Delegación Estado de México Oriente Almacen Delegacional En Estado De Mexico Oriente | Estado de México | 1 | 230.2 MXN | 30 MXN | 15 % | 0.45 | 1 de enero de 2009 |
| Delegación Oaxaca Almacen Delegacional En Oaxaca | Oaxaca | 1 | 230.2 MXN | 30 MXN | 15 % | 0.45 | 9 de diciembre de 2008 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| ESTILOS BARSI, S.A. DE C.V. | 25 | 1,852.1 MXN | 15.5 % | 21.2 | 2008 - 2013 |
| UNIFORMES INDUSTRIALES COMANDO, S. A. DE C. V. | 2 | 282.8 MXN | 16.1 % | 3.38 | 2011 - 2011 |
| MEGRACUMU, S.A. DE C.V. | 1 | 80.7 MXN | 16 % | 0.963 | 2011 - 2011 |
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=210.110.2099.02")
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=210.110.2099.02')
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=210.110.2099.02')