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Description
Separador Taylor tamaño grande
Classification
Material médico. Instrumental de cirugia de especialidades
IMSS product code
537.814.8844.00
Presentation
Pieza
Each circle represents one of the 5 purchases of SEPARADOR made by the IMSS between 2010 and 2018.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Guanajuato Almacen Delegacional En Guanajuato | Guanajuato | 1 | 2,900 MXN | 400 MXN | 16 % | 0.8 | 31 de agosto de 2017 |
| Delegación Michoacán Almacen Delegacional En Michoacan | Michoacán | 1 | 1,160 MXN | 160 MXN | 16 % | 0.32 | 27 de junio de 2017 |
| Delegación Querétaro Almacen Delegacional En Queretaro | Querétaro | 1 | 1,597.9 MXN | 220.4 MXN | 16 % | 0.16 | 31 de julio de 2018 |
| H. de Especialidades No. 2, "Luis Donaldo Colosio Murrieta", Centro Médico Nacional del Noroeste, Cd. Obregón Sonora Umae Especialidades Sonora | Sonora | 1 | 10,330.5 MXN | 1,424.9 MXN | 16 % | 0.96 | 19 de julio de 2016 |
| H. de Traumatología y Ortopedia, "Gral. Div. Manuel Avila Camacho", Centro Médico Nacional, Puebla Umae Traumatologia Y Ortopedia Puebla | Puebla | 1 | 1,856 MXN | 256 MXN | 16 % | 0.16 | 21 de diciembre de 2010 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| QUIRURGICA ORTOPEDICA, S. A. DE C. V. | 2 | 560 MXN | 16 % | 1.12 | 2017 - 2017 |
| DEWIMED, S. A. | 1 | 220.4 MXN | 16 % | 0.16 | 2018 - 2018 |
| MARBELLA ZETINA LAGUNES | 1 | 256 MXN | 16 % | 0.16 | 2010 - 2010 |
| MULTISERVICIOS METZOR, S. DE R.L. DE C.V. | 1 | 1,424.9 MXN | 16 % | 0.96 | 2016 - 2016 |
Entity type
Instrumental de cirugia de especialidades
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=537.814.8844.00")
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=537.814.8844.00')
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=537.814.8844.00')