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Description
BLANCO TAMAÑO A-4DE 21 X 29.7 CM DE 72 GR/M2.CON MEMBRETE.
Classification
Artículos de consumo. Papeleria
IMSS product code
311.685.5549.00
Each circle represents one of the 7 purchases of PAPEL BOND made by the IMSS between 2009 and 2013.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Chihuahua Almacen Delegacional En Chihuahua | Chihuahua | 2 | 29,223.7 MXN | 3,635.7 MXN | 13.7 % | 70.7 | 1 de enero de 2010 |
| Delegación Jalisco Almacen Delegacional En Jalisco | Jalisco | 2 | 149,662.6 MXN | 20,643.1 MXN | 16 % | 406.1 | 1 de enero de 2012 |
| Delegación Baja California | Baja California | 1 | 369 MXN | 313.2 MXN | 561.5 % | 5.62 | 21 de octubre de 2009 |
| Delegación Estado de México Oriente Almacen Delegacional En Estado De Mexico Oriente | Estado de México | 1 | 12,419 MXN | 1,713 MXN | 16 % | 32 | 5 de julio de 2013 |
| Delegación Guanajuato Almacen Delegacional En Guanajuato | Guanajuato | 1 | 1,247 MXN | 172 MXN | 16 % | 0.16 | 31 de marzo de 2011 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| SERVICIOS Y SISTEMAS IMPRESOS, S.A. DE C.V. | 3 | 18,680.1 MXN | 14.4 % | 373.1 | 2009 - 2010 |
| BELTRAN SILVA MAURICIO | 1 | 1,713 MXN | 16 % | 32 | 2013 - 2013 |
| FORMULARIOS DE MEXICO, S. A. DE C. V. | 1 | 5,598.7 MXN | 16 % | 103.7 | 2012 - 2012 |
| NUEVA WAL MART DE MEXICO, S. DE R.L. DE C.V. | 1 | 313.2 MXN | 561.5 % | 5.62 | 2009 - 2009 |
| OROZCO ESPARZA LORENA | 1 | 172 MXN | 16 % | 0.16 | 2011 - 2011 |
Entity type
Papeleria
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=311.685.5549.00")
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=311.685.5549.00')
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=311.685.5549.00')