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Description
ACCESORIO DE FULGURADORES PARA ELECTROFULGURACION DE CUELLO
Classification
Material médico. Consumibles de equipos medicos y de laboratorio
IMSS product code
379.156.0026.00
Each circle represents one of the 2 purchases of CABLES made by the IMSS between 2010 and 2014.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Sinaloa Almacen Delegacional En Sinaloa | Sinaloa | 1 | 2,539.3 MXN | 350.2 MXN | 16 % | 0.16 | 27 de julio de 2010 |
| Delegación Sur del DF Almacen Delegacional En El D.f. Zona Sur | Ciudad de México | 1 | 38,089.5 MXN | 5,253.7 MXN | 16 % | 2.4 | 20 de noviembre de 2014 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| PROVEEDORA MAHO, S.A. DE C.V. | 1 | 5,253.7 MXN | 16 % | 2.4 | 2014 - 2014 |
| ZAZUETA GARZA HERMELINDO IGNACIO | 1 | 350.2 MXN | 16 % | 0.16 | 2010 - 2010 |
Entity type
Consumibles de equipos medicos y de laboratorio
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=379.156.0026.00")
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=379.156.0026.00')
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=379.156.0026.00')