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Classification
Material médico. Consumibles de equipos medicos y de laboratorio
IMSS product code
379.808.6249.00
Each circle represents one of the 3 purchases of NOMBRE PENDIENTE POR ASIGNAR made by the IMSS between 2015 and 2016.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Michoacán Almacen Delegacional En Michoacan | Michoacán | 3 | 44,779.7 MXN | 7,436.1 MXN | 40.9 % | 2.03 | 4 de noviembre de 2016 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| CORPORATIVO MS SISTEMAS MEDICOS, S.A. DE C.V. | 1 | 2,400 MXN | 16 % | 0.96 | 2016 - 2016 |
| LENGO COMERCIALIZADORA NACIONAL, S. DE R.L. DE C.V | 1 | 5,036.1 MXN | 106.7 % | 1.07 | 2015 - 2015 |
| SERVICIOS BIOMEDICOS BAZAFI SA DE CV | 1 | - MXN | - | - | 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=379.808.6249.00")
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=379.808.6249.00')
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=379.808.6249.00')