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Description
Pinza Verbruge autocentrante longitud de 145 mm
Classification
Material médico. Instrumental de cirugia de especialidades
IMSS product code
537.702.6769.00
Presentation
Pieza
Each circle represents one of the 21 purchases of PINZAS made by the IMSS between 2010 and 2018.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Zacatecas Almacen Delegacional En Zacatecas | Zacatecas | 5 | 29,591.6 MXN | 3,662 MXN | 19.3 % | 2.82 | 6 de julio de 2017 |
| Delegación Durango Almacen Delegacional En Durango | Durango | 3 | 6,554.7 MXN | 431.2 MXN | 10.2 % | 0.316 | 22 de mayo de 2018 |
| Delegación Hidalgo Almacen Delegacional En Hidalgo | Hidalgo | 3 | 16,100.8 MXN | 1,903.3 MXN | 14.5 % | 1.46 | 6 de agosto de 2015 |
| Delegación Aguascalientes Almacen Delegacional En Aguascalientes | Aguascalientes | 2 | 8,865.2 MXN | 1,891.2 MXN | 27.1 % | 1.09 | 8 de agosto de 2018 |
| H. de Especialidades No. 14 "Adolfo Ruíz Cortines", Veracruz. Umae Especialidades Veracruz (nte.) | Veracruz | 2 | 7,710.2 MXN | 1,601.2 MXN | 26.9 % | 1.08 | 2 de febrero de 2011 |
| Delegación Baja California Sur Almacen Delegacional En Baja California Sur | Baja California Sur | 1 | 1,566 MXN | 321.8 MXN | 25.9 % | 0.259 | 2 de noviembre de 2012 |
| Delegación Chiapas Almacen Subdelegacional En Tapachula, Chiapas | Chiapas | 1 | 2,818.8 MXN | 186.3 MXN | 7.08 % | 0.142 | 30 de julio de 2014 |
| Delegación Colima Almacen Delegacional En Colima | Colima | 1 | 2,427.3 MXN | 690.3 MXN | 39.7 % | 0.397 | 27 de diciembre de 2011 |
| Delegación Oaxaca Almacen Delegacional En Oaxaca | Oaxaca | 1 | 3,132 MXN | 499.5 MXN | 19 % | 0.379 | 18 de febrero de 2014 |
| Delegación Quintana Roo Almacen Delegacional En Quintana Roo | Quintana Roo | 1 | 5,011.2 MXN | 331.2 MXN | 7.08 % | 0.283 | 5 de febrero de 2013 |
| Delegación Yucatán Almacen Delegacional En Yucatan | Yucatán | 1 | 7,480.1 MXN | 1,421.2 MXN | 23.5 % | 0.938 | 16 de mayo de 2016 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| QUIRURGICA ORTOPEDICA, S. A. DE C. V. | 15 | 7,398.6 MXN | 13.9 % | 5.55 | 2010 - 2018 |
| HEMOST, S. A. DE C. V. | 2 | 786.7 MXN | 22.5 % | 0.606 | 2012 - 2017 |
| CORPORATIVO NEOMEDICA, S. A. DE C. V. | 1 | 1,601.2 MXN | 53.8 % | 1.08 | 2010 - 2010 |
| DEWIMED, S. A. | 1 | 1,041.2 MXN | 30 % | 0.599 | 2011 - 2011 |
| FARMACIA DERMATOLOGICA Y ESPECIALIDADES S.A. DE C. | 1 | 690.3 MXN | 39.7 % | 0.397 | 2011 - 2011 |
| NEODREN, S. DE R. L. DE C. V. | 1 | 1,421.2 MXN | 23.5 % | 0.938 | 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=537.702.6769.00")
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=537.702.6769.00')
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=537.702.6769.00')