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Description
EQUIPO PARA APLICACION DE -FILTRO INTRACAVAL YUGULAR.FERROMAGNETICO. MODELO GREENFIELD. CONSTA DE APLICADORY FILTRO.
IMSS product code
060.345.0131.12
Each circle represents one of the 17 purchases of EQUIPOS made by the IMSS between 2014 and 2018.
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| LEVBETH MEDICAL, S.A. DE C.V. | 9 | 111,672.4 MXN | 36.6 % | 5.09 | 2014 - 2018 |
| PROMEDICA GARCIA, S. A. DE C. V. | 3 | 7,611.6 MXN | 2.56 % | 0.349 | 2017 - 2018 |
| VISORA MEDICA SA DE CV | 2 | 27,100 MXN | 14.5 % | 1.45 | 2014 - 2014 |
| BOSTON SCIENTIFIC DE MEXICO, S. A. DE C. V. | 1 | 1,514.7 MXN | 6.75 % | 0.0675 | 2016 - 2016 |
| SUMINISTROS MEDICOS DE MEXICO, S.A. DE C.V. | 1 | 7,672.2 MXN | 35.6 % | 0.356 | 2018 - 2018 |
| TECNOLOGIA MEDICA DIART, S.A. DE C.V. | 1 | 4,743.2 MXN | 21.3 % | 0.213 | 2017 - 2017 |
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=060.345.0131.12")
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=060.345.0131.12')
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=060.345.0131.12')