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Description
SISTEMA DE PLACAS. PLACAS RECTAS, CON ORIFICIOS DE COMPRESION DINAMICA PARA TORNILLOS DE 3.5 Y 4.0 MM DE DIAMETRO. NUMERO DE ORIFICIOS: 2.
IMSS product code
060.725.1642.11
Each circle represents one of the 2 purchases of PLACAS made by the IMSS between 2011 and 2012.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Oaxaca Almacen Delegacional En Oaxaca | Oaxaca | 1 | 24,278.8 MXN | 3,348.8 MXN | 16 % | 11.2 | 9 de julio de 2012 |
| Delegación Veracruz Sur Almacen Delegacional En Veracruz Sur | Veracruz | 1 | 402.7 MXN | 55.5 MXN | 16 % | 0.16 | 19 de octubre de 2011 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| QUIRURGICA ORTOPEDICA, S. A. DE C. V. | 1 | 3,348.8 MXN | 16 % | 11.2 | 2012 - 2012 |
| SOCIEDAD CONSTRUC. DE EQUIP. CLINIC. Y ELECTR.S.A | 1 | 55.5 MXN | 16 % | 0.16 | 2011 - 2011 |
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=060.725.1642.11")
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=060.725.1642.11')
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=060.725.1642.11')