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Description
MODELO 2022 METTO BLANCAS.
Classification
Artículos de consumo. Papeleria
IMSS product code
311.394.1813.00
Each circle represents one of the 6 purchases of ETIQUETA made by the IMSS between 2009 and 2013.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Coahuila Almacen Delegacional En Coahuila | Coahuila | 2 | 15,169.3 MXN | 1,995.4 MXN | 16 % | 187.2 | 6 de octubre de 2011 |
| Delegación Jalisco Almacen Delegacional En Jalisco | Jalisco | 2 | 1,469.6 MXN | 197.1 MXN | 15.6 % | 24.8 | 1 de enero de 2012 |
| Delegación Baja California Sur Almacen Delegacional En Baja California Sur | Baja California Sur | 1 | 9,827.4 MXN | 1,277.2 MXN | 14.9 % | 117.1 | 1 de junio de 2009 |
| H. de Especialidades, "Gral. Div. Manuel Avila Camacho", Centro Médico Nacional, Puebla Umae Especialidades Puebla | Puebla | 1 | 10,440 MXN | 1,440 MXN | 16 % | 160 | 20 de junio de 2013 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| ANUNCIOS, IMPRESIONES Y SOLUCIONES S.A. DE C.V. | 2 | 239.7 MXN | 16 % | 30.1 | 2011 - 2012 |
| CASTA?EDA TELLEZ CELIA DENISSE | 1 | 1,440 MXN | 16 % | 160 | 2013 - 2013 |
| COMERCIALIZADORA DAMAG, S.A. DE C.V. | 1 | 1,870.3 MXN | 15 % | 171.5 | 2009 - 2009 |
| DEPORTES Y REGALOS SAMAR, S. A. DE C. V. | 1 | 82.5 MXN | 16 % | 10.4 | 2011 - 2011 |
| SUMINISTROS SERVICIOS SOLUCIONES, S.A . DE C. V. | 1 | 1,277.2 MXN | 14.9 % | 117.1 | 2009 - 2009 |
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=311.394.1813.00")
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=311.394.1813.00')
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=311.394.1813.00')