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Description
PINZA VASCULAR CASTAYEDA, CLAMP PARA ANASTOMOSIS, LONGITUD DE QUIJADA 18 MM LONGITUD TOTAL 152 MM.
IMSS product code
537.702.2321.01
Each circle represents one of the 8 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 |
|---|---|---|---|---|---|---|---|
| H. de Especialidades No. 14 "Adolfo Ruíz Cortines", Veracruz. Umae Especialidades Veracruz (nte.) | Veracruz | 2 | 42,490.8 MXN | 4,920.3 MXN | 12.5 % | 2.76 | 2 de febrero de 2011 |
| Delegación Baja California Almacen Delegacional En Baja California Norte | Baja California | 1 | 2,756.2 MXN | 1,320.7 MXN | 92 % | 0.92 | 20 de agosto de 2010 |
| Delegación Guanajuato Almacen Delegacional En Guanajuato | Guanajuato | 1 | 41,470 MXN | 5,720 MXN | 16 % | 1.6 | 17 de agosto de 2018 |
| Delegación Hidalgo Almacen Delegacional En Hidalgo | Hidalgo | 1 | 2,296.8 MXN | 316.8 MXN | 16 % | 0.16 | 9 de noviembre de 2012 |
| Delegación Quintana Roo Almacen Delegacional En Quintana Roo | Quintana Roo | 1 | 23,988.8 MXN | 3,308.8 MXN | 16 % | 1.76 | 5 de febrero de 2013 |
| Delegación Veracruz Norte Almacen Delegacional En Veracruz Norte | Veracruz | 1 | 4,593.6 MXN | 633.6 MXN | 16 % | 0.32 | 17 de febrero de 2012 |
| Delegación Yucatán Almacen Delegacional En Yucatan | Yucatán | 1 | 3,120.4 MXN | 430.4 MXN | 16 % | 0.32 | 29 de octubre de 2014 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| QUIRURGICA ORTOPEDICA, S. A. DE C. V. | 6 | 14,784.7 MXN | 28.7 % | 6.52 | 2010 - 2018 |
| ALONSO RUBIN FRANCISCO FERNANDO | 1 | 430.4 MXN | 16 % | 0.32 | 2014 - 2014 |
| HIDRO HOSPITAL, S.A. DE C.V. | 1 | 1,435.5 MXN | 9.09 % | 1 | 2010 - 2010 |
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=537.702.2321.01")
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=537.702.2321.01')
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=537.702.2321.01')