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Description
DE ACERO INOXIDABLE AL CARBON CON PUNTA FINA Y PRECISA Y DESECHABLE DEL NO 11 EN EMPAQUE DE ALUMINIO INDIVIDUAL ESTERIL, NÚMERO DE CATÁLOGO: BB511
Classification
Material médico. Consumibles de equipos medicos y de laboratorio
IMSS product code
379.440.0238.00
Presentation
CAJA CON 100 PIEZAS.
Each circle represents one of the 9 purchases of HOJA PARA BISTURI made by the IMSS between 2011 and 2018.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Guanajuato Almacen Delegacional En Guanajuato | Guanajuato | 3 | 35,918.1 MXN | 7,136 MXN | 27.4 % | 50.7 | 25 de julio de 2018 |
| Delegación Quintana Roo Almacen Delegacional En Quintana Roo | Quintana Roo | 2 | 13,758.8 MXN | 2,071.6 MXN | 17 % | 22.8 | 19 de abril de 2013 |
| H. General, "Dr. Gaudencio González Garza" Centro Médico Nacional La Raza Umae Hospital General C.m.n. La Raza | Ciudad de México | 2 | 53,104.8 MXN | 5,538.3 MXN | 6.37 % | 33.6 | 12 de julio de 2017 |
| Delegación San Luis Potosí Almacen Delegacional En San Luis Potosi | San Luis Potosi | 1 | 2,749.8 MXN | 567.8 MXN | 26 % | 3.38 | 16 de abril de 2018 |
| Delegación Tabasco Almacen Delegacional En Tabasco | Tabasco | 1 | 468.6 MXN | 139.4 MXN | 42.3 % | 0.847 | 16 de noviembre de 2017 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| GRUPO EMEQUR, S.A. DE C.V. | 2 | 1,960.5 MXN | 19.9 % | 11.7 | 2018 - 2018 |
| LITO MEDICAL S.A. DE C.V. | 2 | 3,394.6 MXN | 16.1 % | 37.1 | 2013 - 2013 |
| DENTILAB, S. A. DE C. V. | 1 | - MXN | - | - | 2017 - 2017 |
| EXORTA, S. DE R.L DE C.V. | 1 | 4,189 MXN | 54.1 % | 25.4 | 2017 - 2017 |
| FERNANDEZ DIAZ CARLOS PABLO | 1 | 139.4 MXN | 42.3 % | 0.847 | 2017 - 2017 |
| MARTINEZ SANTIAGO RAUL | 1 | 5,538.3 MXN | 12.7 % | 33.6 | 2017 - 2017 |
| SERVICIOS MEDICOS Y TECNICOS, S.A. DE C.V. | 1 | 231.2 MXN | 16 % | 2.72 | 2011 - 2011 |
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=379.440.0238.00")
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=379.440.0238.00')
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=379.440.0238.00')