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Description
MARCA HP, NO, DE PARTE C657578D
Classification
Material médico. Material de uso en equipos de computo
IMSS product code
372.197.2036.00
Each circle represents one of the 13 purchases of CARTUCHO PARA IMPRESORA made by the IMSS between 2009 and 2012.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| H. de Traumatología y Ortopedia, Lomas Verdes Umae Traumatologia Y Ortopedia Lomas Verdes | Estado de México | 6 | 10,864.4 MXN | 2,332 MXN | 49.7 % | 6.22 | 1 de enero de 2012 |
| Delegación San Luis Potosí Almacen Delegacional En San Luis Potosi | San Luis Potosi | 5 | 62,501.1 MXN | 12,418.6 MXN | 21.7 % | 34.2 | 23 de marzo de 2011 |
| Delegación Baja California | Baja California | 1 | 466.2 MXN | - MXN | - | - | 28 de octubre de 2010 |
| Delegación Puebla Almacen Delegacional En Puebla | Puebla | 1 | 5,060 MXN | 229.9 MXN | 4.76 % | 0.524 | 17 de marzo de 2009 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| COMERCIALIZADORA GLAVS, S.A. DE C.V. | 3 | 962.5 MXN | 42.8 % | 2.38 | 2010 - 2012 |
| MEDICAMENTOS INSTITUCIONALES MEXICANOS, SA DE CV | 3 | 1,369.5 MXN | 56.5 % | 3.84 | 2009 - 2010 |
| CORPORATIVO DE SOLUCIONES TECNOLOGICAS, S.A. DE C. | 2 | 9,133.2 MXN | 37.6 % | 27 | 2009 - 2010 |
| SOLUCIONES Y SUMINISTROS JELINOVA S. A. DE C. V. | 2 | 2,167.9 MXN | 9.74 % | 4.94 | 2009 - 2009 |
| GAXIOLA CASTRO ARISTEO | 1 | - MXN | - | - | 2010 - 2010 |
| MANUEL ALONSO CORPORACION, S.A. DE C.V. | 1 | - MXN | - | - | 2010 - 2010 |
| TCA EMPRESARIAL, S.A. DE C.V. | 1 | 1,347.4 MXN | 18.8 % | 2.82 | 2011 - 2011 |
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=372.197.2036.00")
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=372.197.2036.00')
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=372.197.2036.00')