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Description
Pinza de reducción tipo pinza de campo punta ancha longitud 13.2 cm
Classification
Material médico. Instrumental de cirugia de especialidades
IMSS product code
537.702.0796.00
Presentation
Pieza
Each circle represents one of the 19 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 Hidalgo Almacen Delegacional En Hidalgo | Hidalgo | 4 | 14,598.3 MXN | 256 MXN | 4 % | 0.32 | 12 de abril de 2013 |
| Delegación Durango Almacen Delegacional En Durango | Durango | 3 | 17,684.2 MXN | 3,452.1 MXN | 22.7 % | 2.8 | 30 de noviembre de 2017 |
| Delegación Estado de México Oriente Almacen Delegacional En Estado De Mexico Oriente | Estado de México | 2 | 352,377.8 MXN | 75,564 MXN | 21.7 % | 33.9 | 16 de julio de 2012 |
| Delegación Oaxaca Almacen Delegacional En Oaxaca | Oaxaca | 2 | 3,067 MXN | - MXN | - | - | 3 de noviembre de 2016 |
| Delegación Zacatecas Almacen Delegacional En Zacatecas | Zacatecas | 2 | 8,456.4 MXN | 1,036.8 MXN | 8 % | 1.28 | 24 de marzo de 2014 |
| Delegación Guanajuato Almacen Delegacional En Guanajuato | Guanajuato | 1 | 6,783.7 MXN | - MXN | - | - | 17 de agosto de 2018 |
| Delegación Guerrero Almacen Delegacional En Guerrero | Guerrero | 1 | 16,704 MXN | - MXN | - | - | 26 de octubre de 2012 |
| Delegación Quintana Roo Almacen Delegacional En Quintana Roo | Quintana Roo | 1 | 4,640 MXN | 640 MXN | 16 % | 0.8 | 5 de febrero de 2013 |
| Delegación Tabasco Almacen Delegacional En Tabasco | Tabasco | 1 | 2,784 MXN | 324 MXN | 13.2 % | 0.395 | 6 de abril de 2015 |
| Delegación Veracruz Sur Almacen Delegacional En Veracruz Sur | Veracruz | 1 | 11,802.2 MXN | 6,461.4 MXN | 121 % | 2.42 | 15 de noviembre de 2018 |
| Delegación Yucatán Almacen Delegacional En Yucatan | Yucatán | 1 | 11,275.2 MXN | 1,825.2 MXN | 19.3 % | 1.93 | 29 de octubre de 2014 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| QUIRURGICA ORTOPEDICA, S. A. DE C. V. | 12 | 7,202.1 MXN | 10.7 % | 7.12 | 2010 - 2018 |
| BELTRAN SILVA MAURICIO | 1 | 74,824.8 MXN | 27.5 % | 28.6 | 2012 - 2012 |
| CORPORATIVO NEOMEDICA, S. A. DE C. V. | 1 | - MXN | - | - | 2012 - 2012 |
| DACEGA CORPORATION, SA DE CV | 1 | 739.2 MXN | 16 % | 5.28 | 2011 - 2011 |
| DEWIMED, S. A. | 1 | 6,461.4 MXN | 121 % | 2.42 | 2018 - 2018 |
| HEMOST, S. A. DE C. V. | 1 | - MXN | - | - | 2016 - 2016 |
| NEODREN, S. DE R. L. DE C. V. | 1 | 332 MXN | 20.2 % | 0.405 | 2015 - 2015 |
| RIOJA LOPEZ DARIO JOEL | 1 | - MXN | - | - | 2012 - 2012 |
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=537.702.0796.00")
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=537.702.0796.00')
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=537.702.0796.00')