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Classification
Material médico. Consumibles de equipos medicos y de laboratorio
IMSS product code
379.103.0012.00
Each circle represents one of the 9 purchases of BOQUILLA made by the IMSS between 2009 and 2018.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Sonora Almacen Delegacional En Sonora | Sonora | 8 | 134,191.5 MXN | 16,997 MXN | 13.5 % | 3.53 | 6 de noviembre de 2018 |
| Delegación Estado de México Poniente Almacen Delegacional En El Estado De Mexico Poniente | Estado de México | 1 | 104.4 MXN | 14.4 MXN | 16 % | 0.48 | 17 de junio de 2015 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| ABASTECEDORA DE CONSUMIBLES MEDICOS, S.A. DE C.V. | 7 | 16,997 MXN | 15.4 % | 3.53 | 2009 - 2011 |
| COMERCIAL HOSPITALARIA S.A DE C.V. | 1 | - MXN | - | - | 2018 - 2018 |
| MAINEQ DE MEXICO, S.A. DE C.V. | 1 | 14.4 MXN | 16 % | 0.48 | 2015 - 2015 |
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=379.103.0012.00")
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=379.103.0012.00')
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=379.103.0012.00')