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Description
PARA IMPRESORA MARCA OKIDATA MODELO B420DN, NUMERO DE PARTE 43979206 NEGRO, RENDIMIENTO DE 10,000 PAGINASX
Classification
Material médico. Material de uso en equipos de computo
IMSS product code
372.197.4776.00
Each circle represents one of the 6 purchases of CARTUCHO DE TONER made by the IMSS between 2011 and 2014.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Tamaulipas Almacen Delegacional En Tamaulipas | Tamaulipas | 3 | 31,958 MXN | 3,600.6 MXN | 14.6 % | 2.04 | 1 de enero de 2013 |
| Delegación Sinaloa Almacen Delegacional En Sinaloa | Sinaloa | 2 | 60,842 MXN | 9,199.4 MXN | 17 % | 5.16 | 9 de diciembre de 2013 |
| Delegación Norte del DF Almacen Delegacional En El D.f. Zona Norte | Ciudad de México | 1 | 762,537.6 MXN | 105,177.6 MXN | 16 % | 53.1 | 26 de febrero de 2014 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| TOP TONER, S.A. DE C.V. | 2 | 3,294.9 MXN | 13 % | 1.87 | 2012 - 2013 |
| ARS INTEGRACION DE SOLUCIONES, S. A. DE C. V. | 1 | 305.7 MXN | 17.7 % | 0.177 | 2012 - 2012 |
| MALDONADO TIRADO PATRICIA MARIA | 1 | 8,175.4 MXN | 18.1 % | 4.52 | 2013 - 2013 |
| SANTOS RIOS JOSE GUADALUPE | 1 | 1,024 MXN | 16 % | 0.64 | 2011 - 2011 |
| SOURCE TONER DE MEXICO, S.A. DE C.V. | 1 | 105,177.6 MXN | 16 % | 53.1 | 2014 - 2014 |
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=372.197.4776.00")
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=372.197.4776.00')
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=372.197.4776.00')