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Description
AGUJA DE ACERO INOXIDABLE, PARA BIOPSIA A TRAVES DEL TRANSDUCTOR DE ULTRASONIDO INTRACAVITARIO, CALIBRE 26 G., LONGITUD 20 CM. REUSABLE. CONSUMIBLE DE LA PISTOLA PARA LA TOMA DE BIOPSIA CLAVE 531 925 0089.
IMSS product code
060.034.0244.01
Each circle represents one of the 33 purchases of AGUJAS made by the IMSS between 2010 and 2019.
| 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 | 18 | 3.1 millones MXN | 450,375.7 MXN | 17.5 % | 1,037.7 | 21 de enero de 2019 |
| H. de Especialidades, "Dr. Bernardo Sepulveda Gutiérrez" Centro Médico Nacional Siglo XXI Umae Especialidades C.m.n. Siglo Xxi | Ciudad de México | 11 | 257,553.1 MXN | 27,188.6 MXN | 10.2 % | 65.2 | 13 de diciembre de 2018 |
| H. de Especialidades Núm 25, Monterrey, N.L. Umae Especialidades Nuevo Leon | Nuevo León | 3 | 29,000 MXN | 3,055.1 MXN | 239.7 % | 7.19 | 3 de octubre de 2018 |
| Delegación Colima Almacen Delegacional En Colima | Colima | 1 | 5,149.5 MXN | 1,750.4 MXN | 51.5 % | 4.12 | 17 de diciembre de 2018 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| CORPORACION ARMO, S.A. DE C.V. | 13 | 405,613.9 MXN | 24.1 % | 914.8 | 2012 - 2019 |
| MARPELPHARMA MEXICO SA DE CV | 13 | 13,920 MXN | 4.92 % | 46.4 | 2010 - 2014 |
| DURFA, S. A. DE C. V. | 3 | 3,055.1 MXN | 239.7 % | 7.19 | 2017 - 2018 |
| DISAMED, S.A. DE C.V. | 2 | 14,522.9 MXN | 16 % | 29.8 | 2016 - 2016 |
| CARDIOPACE, S.A. DE C.V. | 1 | 1,750.4 MXN | 51.5 % | 4.12 | 2018 - 2018 |
| PRODUCTOS BARD DE MEXICO, S.A. DE C.V. | 1 | 43,507.5 MXN | 17.6 % | 112 | 2017 - 2017 |
Date updated in QQW
3 de octubre de 2022
Source(s)
Part of the project
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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=060.034.0244.01")
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=060.034.0244.01')
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=060.034.0244.01')