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Description
MULTIFUNCIONAL MARCA EPSON MODELOS STYLUS OFFICE T30, T33, TX300F, STYLUS T20, T21, T23, T24, TX100, TX105, TX110, TX115, TX200, TX210, TX400 Y TX410, NUMERO DE PARTE T073220 CIAN
Classification
Material médico. Material de uso en equipos de computo
IMSS product code
372.197.4941.00
Each circle represents one of the 5 purchases of CARTUCHO DE TINTA made by the IMSS between 2011 and 2013.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Norte del DF Almacen Delegacional En El D.f. Zona Norte | Ciudad de México | 2 | 2,009 MXN | 277.1 MXN | 31 % | 1.92 | 16 de noviembre de 2011 |
| H. de Pediatría, Centro Médico Nacional Siglo XXI Umae Pediatria C.m.n. Siglo Xxi | Ciudad de México | 2 | 763.9 MXN | 139.4 MXN | 32.4 % | 0.967 | 6 de mayo de 2013 |
| Delegación Yucatán Almacen Delegacional En Yucatan | Yucatán | 1 | 519.7 MXN | 37.7 MXN | 7.82 % | 0.313 | 24 de abril de 2012 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| CEDILLO TORRIJO MARCELINO | 1 | 122.8 MXN | 8.51 % | 0.851 | 2011 - 2011 |
| COMERCIALIZADORA TONYCOM,S.A DE C.V | 1 | 37.7 MXN | 7.82 % | 0.313 | 2012 - 2012 |
| GRUPO ABASTECEDOR DEL NORTE, S.A. DE C.V. | 1 | 58.7 MXN | 48.7 % | 0.487 | 2012 - 2012 |
| SILVA MORALES ADOLFO | 1 | 154.3 MXN | 53.5 % | 1.07 | 2011 - 2011 |
| SURTIDORA ALEVI, S.A. DE C.V. | 1 | 80.6 MXN | 16 % | 0.48 | 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=372.197.4941.00")
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=372.197.4941.00')
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=372.197.4941.00')