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Description
PORTAAGUJAS CASTROVIEJO, RECTO, CON RETEN, DE TITANIO, LONGITU DE 140 MM.
IMSS product code
537.716.1137.01
Each circle represents one of the 6 purchases of PORTA AGUJA made by the IMSS between 2010 and 2018.
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| DACEGA CORPORATION, SA DE CV | 1 | - MXN | - | - | 2012 - 2012 |
| DEWIMED, S. A. | 1 | - MXN | - | - | 2012 - 2012 |
| HIDRO HOSPITAL, S.A. DE C.V. | 1 | 232 MXN | 16 % | 0.16 | 2010 - 2010 |
| IMPORTADORA MEDICA MEXICANA, S. A. | 1 | 56,296.4 MXN | 63.5 % | 3.81 | 2012 - 2012 |
| LASER BIOMEDICAL SERVICE, S.A. DE C.V. | 1 | 512.5 MXN | 16 % | 0.16 | 2011 - 2011 |
| QUIRURGICA ORTOPEDICA, S. A. DE C. V. | 1 | 2,080 MXN | 16 % | 0.16 | 2018 - 2018 |
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=537.716.1137.01")
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=537.716.1137.01')
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=537.716.1137.01')