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Description
Compra Emergente
IMSS product code
060.842.0527.02
Each circle represents one of the 10 purchases of SUTURAS made by the IMSS between 2009 and 2015.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Baja California | Baja California | 6 | 23,483.5 MXN | 1,187.8 MXN | 4.76 % | 1.37 | 9 de diciembre de 2010 |
| Delegación Michoacán Almacen Delegacional En Michoacan | Michoacán | 2 | 18,138 MXN | 2,501.8 MXN | 18.9 % | 2.56 | 22 de septiembre de 2014 |
| Delegación Baja California Almacen Delegacional En Baja California Norte | Baja California | 1 | 2,117.5 MXN | - MXN | - | - | 25 de mayo de 2010 |
| H. de Especialidades Núm 71, Torreón, Coahuila Umae Especialidades Coahuila | Coahuila | 1 | 3,599.9 MXN | 496.5 MXN | 16 % | 1.6 | 20 de noviembre de 2015 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| INSTRUMENTACION Y EQUIPOS MEDICOS, S. DE R.L. DE C | 3 | - MXN | - | - | 2009 - 2010 |
| MARIA ELENA MORA PEREA | 2 | 721.9 MXN | 10 % | 0.666 | 2010 - 2010 |
| RIOS MALDONADO MIGUEL | 2 | 465.9 MXN | 4.27 % | 0.704 | 2009 - 2009 |
| EL CIRUJANO, S.A DE C.V | 1 | 496.5 MXN | 16 % | 1.6 | 2015 - 2015 |
| GRUPO DAECSA, S.A. DE C.V. | 1 | 1,792.4 MXN | 30.6 % | 1.83 | 2014 - 2014 |
| PROMEDICA GARCIA, S. A. DE C. V. | 1 | 709.4 MXN | 7.26 % | 0.726 | 2014 - 2014 |
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=060.842.0527.02")
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=060.842.0527.02')
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=060.842.0527.02')