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Description
LASER MARCA LEXMARK MODELO OPTRA S 176K PARTE 1382925
Classification
Material médico. Material de uso en equipos de computo
IMSS product code
372.197.0873.00
Each circle represents one of the 6 purchases of CARTUCHO PARA IMPRESORA made by the IMSS between 2009 and 2013.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Sonora Almacen Delegacional En Sonora | Sonora | 3 | 7,424.4 MXN | 401 MXN | 5 % | 0.15 | 5 de julio de 2013 |
| Delegación Puebla Almacen Delegacional En Puebla | Puebla | 1 | 19,430 MXN | 2,680 MXN | 16 % | 0.8 | 1 de enero de 2010 |
| H. de Especialidades, "Lic. Ignacio García Tellez" Centro Médico Nacional de Occidente, Jalisco Umae Especialidades Jalisco | Jalisco | 1 | 7,460 MXN | 1,029 MXN | 16 % | 0.32 | 19 de julio de 2011 |
| H. de Pediatría, "Lic. Ignacio García Tellez" Centro Médico Nacional de Occidente, Jalisco. Umae Pediatria Jalisco | Jalisco | 1 | 244,156.8 MXN | 38,496 MXN | 18.7 % | 8.98 | 1 de enero de 2013 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| MARIA E BERUMEN PRECIADO | 2 | - MXN | - | - | 2013 - 2013 |
| JLB-PRODUCTS SOFT & HARDWARE S DE RL DE MICROINDUS | 1 | 401 MXN | 15 % | 0.15 | 2009 - 2009 |
| MIRA DE OCCIDENTE S.A DE C.V. | 1 | 1,029 MXN | 16 % | 0.32 | 2011 - 2011 |
| TCA EMPRESARIAL, S.A. DE C.V. | 1 | 2,680 MXN | 16 % | 0.8 | 2010 - 2010 |
| VALMAR DIGITALMICRO, S.A. DE C.V. | 1 | 38,496 MXN | 18.7 % | 8.98 | 2013 - 2013 |
Entity type
Material de uso en equipos de computo
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=372.197.0873.00")
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=372.197.0873.00')
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=372.197.0873.00')