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Description
ORIGINAL, TAMAÑO CARTA DE 280 X 21.5 CM, DE 72 G/M2 COLOR BLANCO, CON EMBLEMA Y MEMBRETE DEL IMSS,
Classification
Artículos de consumo. Papeleria
IMSS product code
311.685.7701.00
Each circle represents one of the 6 purchases of PAPEL BOND made by the IMSS between 2012 and 2016.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Baja California Almacen Delegacional En Baja California Norte | Baja California | 1 | 4,454.4 MXN | 614.4 MXN | 16 % | 5.12 | 29 de junio de 2016 |
| Delegación Colima Almacen Delegacional En Colima | Colima | 1 | 1,176.2 MXN | 662 MXN | 128.7 % | 15.4 | 9 de abril de 2014 |
| Delegación Jalisco Almacen Delegacional En Jalisco | Jalisco | 1 | 122,992.4 MXN | 16,464.7 MXN | 15.5 % | 384.2 | 4 de marzo de 2014 |
| Delegación Tamaulipas Almacen Delegacional En Tamaulipas | Tamaulipas | 1 | 754.8 MXN | 349.1 MXN | 86.1 % | 5.16 | 21 de febrero de 2012 |
| Delegación Tlaxcala Almacen Delegacional En Tlaxcala | Tlaxcala | 1 | 1,127.5 MXN | - MXN | - | - | 12 de enero de 2012 |
| H. de Gineco Pediatría Núm 48, León Gto. Umae Gineco - Pediatria Guanajuato | Guanajuato | 1 | 2,561.3 MXN | 353.3 MXN | 16 % | 3.84 | 1 de enero de 2015 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| SERVICIOS Y SISTEMAS IMPRESOS, S.A. DE C.V. | 4 | 17,829.1 MXN | 61.6 % | 408.7 | 2012 - 2015 |
| COMERCIALIZADORA CIPAC, S.A. DE C.V. | 1 | 614.4 MXN | 16 % | 5.12 | 2016 - 2016 |
| DAVLU DISTRIBUIDORA S.A. DE C.V. | 1 | - MXN | - | - | 2012 - 2012 |
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=311.685.7701.00")
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=311.685.7701.00')
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=311.685.7701.00')