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Description
DILATADOR BAKES, LONGITUD DE 300 A 320 MM., CALIBRE 1 MM.
IMSS product code
537.301.0627.02
Each circle represents one of the 14 purchases of DILATADOR made by the IMSS between 2010 and 2018.
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| QUIRURGICA ORTOPEDICA, S. A. DE C. V. | 7 | 429.2 MXN | 12.3 % | 2.46 | 2011 - 2018 |
| HEMOST, S. A. DE C. V. | 2 | 50.6 MXN | 21.7 % | 0.433 | 2017 - 2018 |
| HIDRO HOSPITAL, S.A. DE C.V. | 1 | 55.2 MXN | 16 % | 0.48 | 2010 - 2010 |
| IMPORTADORA MEDICA MEXICANA, S. A. | 1 | 108.7 MXN | 30.3 % | 0.606 | 2012 - 2012 |
| MULTISERVICIOS METZOR, S. DE R.L. DE C.V. | 1 | 794.1 MXN | 135.2 % | 2.7 | 2016 - 2016 |
| PROVEEDORA MEDICA HOSPITALARIA, S. A. DE C. V. | 1 | 67.5 MXN | 16 % | 0.32 | 2013 - 2013 |
| SUPPORT GLOBAL BIOMEDICAL GROUP, S.A. DE C.V. | 1 | 24.2 MXN | 6.89 % | 0.207 | 2017 - 2017 |
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=537.301.0627.02")
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=537.301.0627.02')
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=537.301.0627.02')