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Description
SONDAS PARA URETRA CON ROSCA EN LA PUNTA PARA ACOPLARSE A CANDELILLAS FILIFORMES. TIPO: PHILLIPS. CALIBRE. 20 FR.
IMSS product code
060.167.1035.11
Each circle represents one of the 45 purchases of SONDAS made by the IMSS between 2008 and 2018.
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| INSTRUMENTOS MEDICOS INTERNACIONALES, S.A. DE C.V. | 29 | 23,355 MXN | 10.9 % | 139.2 | 2008 - 2016 |
| CORPORACION ARMO, S.A. DE C.V. | 3 | 20,808 MXN | 82.7 % | 29.7 | 2011 - 2018 |
| INSTRUMENTACION BIOMEDICA Y SIST. QUIR., SA CV | 2 | 4,331.8 MXN | 19.1 % | 2.37 | 2016 - 2018 |
| PRODUCTOS BARD DE MEXICO, S.A. DE C.V. | 2 | 1,938.1 MXN | 8.51 % | 1.02 | 2018 - 2018 |
| BIOS EQUIPAMIENTO TECNICO, SA DE CV | 1 | 3,328.4 MXN | 21.1 % | 1.9 | 2016 - 2016 |
| CARDIOPACE, S.A. DE C.V. | 1 | 5,880.5 MXN | 34.4 % | 3.1 | 2018 - 2018 |
| DISTRIBUIDORA DE PRODUCTOS PARA EL BIENESTAR CORPO | 1 | 17,084.7 MXN | 97.5 % | 9.75 | 2016 - 2016 |
| HEALTH TECHNOLOGIES, S.A DE C.V. | 1 | 400.8 MXN | 11.3 % | 0.226 | 2017 - 2017 |
| HI-TEC MEDICAL DEL SUR, S.A. DE C.V. | 1 | 1,756.9 MXN | 46.3 % | 0.925 | 2018 - 2018 |
| HUMANA DE EQUIPO Y MATERIALES, S.A. DE C.V. | 1 | 2,628.2 MXN | 188.2 % | 18.8 | 2009 - 2009 |
| MORA HERMILO DAVID | 1 | 928 MXN | 16 % | 0.64 | 2010 - 2010 |
| OLEUM PARTS, S.A. DE C.V. | 1 | 137.8 MXN | 11.8 % | 0.59 | 2015 - 2015 |
| VITASANITAS S.A. DE C.V. | 1 | 17,953.9 MXN | 134.4 % | 32.3 | 2011 - 2011 |
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=060.167.1035.11")
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=060.167.1035.11')
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=060.167.1035.11')