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Description
CATETER PARA EXTRACCION DE CALCULOS DE VIAS BILIARES CON DOBLE VIA CALIBRE 4.8 FR LONGITUD 200 CM CON BALON DE 2 ML.
IMSS product code
060.167.6471.11
Each circle represents one of the 18 purchases of CÁNULAS made by the IMSS between 2008 and 2011.
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| BOSTON SCIENTIFIC DE MEXICO, S. A. DE C. V. | 11 | 41,109 MXN | 15.8 % | 32 | 2008 - 2011 |
| ESCAMILLA ZENTENO AURORA | 3 | 107,295.1 MXN | 15.9 % | 83.5 | 2009 - 2009 |
| ENDOMEDICA,S. A. DE C. V. | 2 | - MXN | - | - | 2011 - 2011 |
| CHAVEZ MARROQUIN RAFAEL JAIME | 1 | 6,886.4 MXN | 53.8 % | 4.31 | 2011 - 2011 |
| HOSPI MEDICAL, S. A. DE C. V. | 1 | 52,684.4 MXN | 16 % | 35.7 | 2011 - 2011 |
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=060.167.6471.11")
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=060.167.6471.11')
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=060.167.6471.11')