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Description
SEPARADOR WEITLANER, CON MECANISMO DE AUTORRETENCION, CON 3 X 4 GARFIOS ROMOS, LONGITUD DE 200 MM.
IMSS product code
535.814.6750.01
Each circle represents one of the 19 purchases of SEPARADORES made by the IMSS between 2009 and 2018.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Chiapas Almacen Subdelegacional En Tapachula, Chiapas | Chiapas | 4 | 11,837.7 MXN | 1,361.7 MXN | 11.8 % | 0.945 | 24 de abril de 2012 |
| Delegación Zacatecas Almacen Delegacional En Zacatecas | Zacatecas | 4 | 11,066.4 MXN | 2,027.3 MXN | 25.8 % | 2.04 | 6 de julio de 2017 |
| Delegación Durango Almacen Delegacional En Durango | Durango | 2 | 3,149.2 MXN | 72 MXN | 1.78 % | 0.071 | 22 de mayo de 2018 |
| Delegación Estado de México Poniente Almacen Delegacional En El Estado De Mexico Poniente | Estado de México | 2 | 5,721.1 MXN | 301.1 MXN | 6.1 % | 0.287 | 6 de octubre de 2016 |
| Delegación Baja California Almacen Delegacional En Baja California Norte | Baja California | 1 | 4,510.1 MXN | 866.1 MXN | 23.8 % | 0.951 | 20 de agosto de 2010 |
| Delegación Hidalgo Almacen Delegacional En Hidalgo | Hidalgo | 1 | 3,665.6 MXN | - MXN | - | - | 11 de enero de 2012 |
| Delegación Quintana Roo Almacen Delegacional En Quintana Roo | Quintana Roo | 1 | 10,718.4 MXN | 2,602.4 MXN | 32.1 % | 1.28 | 9 de mayo de 2018 |
| Delegación Sonora Almacen Delegacional En Sonora | Sonora | 1 | 1,879.2 MXN | 57.2 MXN | 3.14 % | 0.0628 | 25 de junio de 2010 |
| Delegación Veracruz Sur Almacen Delegacional En Veracruz Sur | Veracruz | 1 | 6,756.5 MXN | 931.9 MXN | 16 % | 0.64 | 30 de octubre de 2015 |
| Delegación Yucatán Almacen Delegacional En Yucatan | Yucatán | 1 | 3,138.1 MXN | 788.8 MXN | 33.6 % | 0.672 | 16 de mayo de 2016 |
| H. de Especialidades, "Dr. Bernardo Sepulveda Gutiérrez" Centro Médico Nacional Siglo XXI Umae Especialidades C.m.n. Siglo Xxi | Ciudad de México | 1 | 2,865.2 MXN | 1,007.9 MXN | 54.3 % | 1.09 | 1 de noviembre de 2012 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| QUIRURGICA ORTOPEDICA, S. A. DE C. V. | 10 | 3,398.6 MXN | 15.1 % | 3.51 | 2010 - 2017 |
| HEMOST, S. A. DE C. V. | 3 | 222.2 MXN | 3.83 % | 0.23 | 2014 - 2018 |
| NEODREN, S. DE R. L. DE C. V. | 2 | 3,391.3 MXN | 32.8 % | 1.95 | 2016 - 2018 |
| DEWIMED, S. A. | 1 | 931.9 MXN | 16 % | 0.64 | 2015 - 2015 |
| DRENOVAC, S. A. DE C. V. | 1 | 343.3 MXN | 15 % | 0.3 | 2009 - 2009 |
| IMPORTADORA BIOMEDICA, S.A. DE C.V. | 1 | 721.3 MXN | 16 % | 0.32 | 2011 - 2011 |
| IMPORTADORA MEDICA MEXICANA, S. A. | 1 | 1,007.9 MXN | 54.3 % | 1.09 | 2012 - 2012 |
Date updated in QQW
3 de octubre de 2022
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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=535.814.6750.01")
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=535.814.6750.01')
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=535.814.6750.01')