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Description
EPSON MODELOS: FX-70/80/80+/85/86/86E/850/870/880/880+/ MX70/MX-80 RX-70/80/85/ JX-80/LX300/ LX-300+/LX-300+II/LX-300L/800/810/850/ LQ300/APEX 80/T-1000/AP/2000/AP 2600 NO DE PARTE 8750, NEGRO
Classification
Material médico. Material de uso en equipos de computo
IMSS product code
372.198.1037.00
Each circle represents one of the 5 purchases of CINTA PARA IMPRESORA made by the IMSS between 2009 and 2014.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Sonora Almacen Delegacional En Sonora | Sonora | 2 | 1,437.2 MXN | 248.4 MXN | 16.7 % | 1 | 11 de diciembre de 2014 |
| Delegación Veracruz Norte Almacen Delegacional En Veracruz Norte | Veracruz | 2 | 525.4 MXN | - MXN | - | - | 27 de agosto de 2009 |
| Delegación Tlaxcala Almacen Delegacional En Tlaxcala | Tlaxcala | 1 | 1,455.9 MXN | 471.4 MXN | 47.9 % | 5.75 | 1 de enero de 2009 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| MEDICA AVANZADA, S. A. DE C. V. | 2 | 248.4 MXN | 16.7 % | 1 | 2014 - 2014 |
| MANUEL ALONSO CORPORACION, S.A. DE C.V. | 1 | - MXN | - | - | 2009 - 2009 |
| PROVEEDORA DE PAPELES Y CONSUMIBLES, S. DE R. L. | 1 | - MXN | - | - | 2009 - 2009 |
| SOLUCIONES Y SUMINISTROS JELINOVA S. A. DE C. V. | 1 | 471.4 MXN | 47.9 % | 5.75 | 2009 - 2009 |
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=372.198.1037.00")
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=372.198.1037.00')
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=372.198.1037.00')