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Description
ELECTRODO DE AGUJA.
Classification
Material médico. Consumibles de equipos medicos y de laboratorio
IMSS product code
379.304.0423.00
Each circle represents one of the 43 purchases of ELECTRODO DE AGUJA made by the IMSS between 2011 and 2018.
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| SOPORTE MEDICO INTEGRAL, S.A. DE C.V. | 26 | 2.3 millones MXN | 20.1 % | 6,189.6 | 2013 - 2018 |
| B. BRAUN MEDICAL DE MEXICO, S.A.P.I. DE C.V. | 8 | 48,037 MXN | 2.53 % | 128 | 2015 - 2018 |
| EXORTA, S. DE R.L DE C.V. | 3 | 125,331.8 MXN | 1,324.9 % | 214.7 | 2011 - 2013 |
| BIOTECNOLOGIA Y SERVICIOS, S.A. DE C.V. | 2 | 267,561.5 MXN | 551.5 % | 395.4 | 2011 - 2012 |
| COMERCIAL DE ESPECIALIDADES MEDICAS, S.A. DE C.V. | 1 | - MXN | - | - | 2013 - 2013 |
| DIAGNOSTICO Y CIRUGIA, S.A. DE C.V. | 1 | - MXN | - | - | 2012 - 2012 |
| DURFA, S. A. DE C. V. | 1 | - MXN | - | - | 2015 - 2015 |
| ERCCA SOLUTIONS SA DE CV | 1 | - MXN | - | - | 2014 - 2014 |
Entity type
Consumibles de equipos medicos y de laboratorio
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=379.304.0423.00")
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=379.304.0423.00')
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=379.304.0423.00')