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Description
PARA MAQUINA DE ESCRIBIR ELECTRICA(MARCA SWINTEC MODELO 4040)
Classification
Artículos de consumo. Utiles de oficina
IMSS product code
312.205.0127.00
Each circle represents one of the 5 purchases of CINTA CORRECTORA made by the IMSS between 2009 and 2011.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Aguascalientes Almacen Delegacional En Aguascalientes | Aguascalientes | 2 | 30.2 MXN | 3.17 MXN | 8.96 % | 0.717 | 17 de enero de 2011 |
| Delegación Norte del DF Almacen Delegacional En El D.f. Zona Norte | Ciudad de México | 1 | 31.4 MXN | 7.78 MXN | 32.9 % | 1.98 | 1 de enero de 2009 |
| H. de Gineco Pediatría Núm 48, León Gto. Umae Gineco - Pediatria Guanajuato | Guanajuato | 1 | 4.78 MXN | 0.364 MXN | 8.24 % | 0.0824 | 12 de abril de 2011 |
| H. de Pediatría, Centro Médico Nacional Siglo XXI Umae Pediatria C.m.n. Siglo Xxi | Ciudad de México | 1 | 98.6 MXN | 13.6 MXN | 16 % | 1.6 | 17 de diciembre de 2010 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| ANUNCIOS, IMPRESIONES Y SOLUCIONES S.A. DE C.V. | 2 | 3.53 MXN | 13.1 % | 0.799 | 2011 - 2011 |
| DEPORTES Y REGALOS SAMAR, S. A. DE C. V. | 1 | 7.78 MXN | 32.9 % | 1.98 | 2009 - 2009 |
| MANUEL ALONSO CORPORACION, S.A. DE C.V. | 1 | - MXN | - | - | 2009 - 2009 |
| SURTIDORA ALEVI, S.A. DE C.V. | 1 | 13.6 MXN | 16 % | 1.6 | 2010 - 2010 |
Entity type
Utiles de oficina
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=312.205.0127.00")
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=312.205.0127.00')
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=312.205.0127.00')