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Description
CUERDAS PARA ANGIOPLASTIA CORONARIA, CON PUNTA RECTA FLEXIBLE SUPERSUAVE. RADIOPACA. DIAMETRO. 0.014" LONGITUD. 300 CM.
IMSS product code
060.274.0581.03
Each circle represents one of the 13 purchases of CUERDAS made by the IMSS between 2009 and 2018.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| H. de Especialidades, "Dr. Antonio Fraga Mouret" Centro Médico Nacional La Raza Umae Especialidades C.m.n. La Raza | Ciudad de México | 6 | 68,437.3 MXN | 21,900.5 MXN | 26.1 % | 17.4 | 3 de mayo de 2013 |
| H. de Especialidades, "Lic. Ignacio García Tellez" Centro Médico Nacional de Occidente, Jalisco Umae Especialidades Jalisco | Jalisco | 3 | 64,797.5 MXN | 923 MXN | 8.49 % | 1.35 | 1 de abril de 2012 |
| H. de Especialidades Núm 71, Torreón, Coahuila Umae Especialidades Coahuila | Coahuila | 3 | 209,430.2 MXN | 38,856.2 MXN | 23.6 % | 36.5 | 29 de abril de 2013 |
| H. de Especialidades, "Dr. Bernardo Sepulveda Gutiérrez" Centro Médico Nacional Siglo XXI Umae Especialidades C.m.n. Siglo Xxi | Ciudad de México | 1 | 10,440 MXN | 1,440 MXN | 16 % | 0.48 | 26 de junio de 2018 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| BOSTON SCIENTIFIC DE MEXICO, S. A. DE C. V. | 9 | 12,091.4 MXN | 15.8 % | 12.5 | 2009 - 2013 |
| BERNIE MEDICAL, S. A. DE C. V. | 1 | 20,007.4 MXN | 60.6 % | 14.5 | 2012 - 2012 |
| DURFA, S. A. DE C. V. | 1 | 17,958.4 MXN | 34.3 % | 13 | 2012 - 2012 |
| ESCAMILLA ZENTENO AURORA | 1 | 11,622.5 MXN | 15.9 % | 15.2 | 2011 - 2011 |
| LEVBETH MEDICAL, S.A. DE C.V. | 1 | 1,440 MXN | 16 % | 0.48 | 2018 - 2018 |
Date updated in QQW
3 de octubre de 2022
Source(s)
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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=060.274.0581.03")
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=060.274.0581.03')
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=060.274.0581.03')