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Description
CATETER LUMBO-PERITONEAL PARA DRENAJE DE LIQUIDO CEFALORRAQUIDEO. LONGITUD 90 CM MINIMO.
IMSS product code
060.166.1515.01
Each circle represents one of the 17 purchases of CATÉTERES made by the IMSS between 2009 and 2017.
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| INSTRUMENTOS MEDICOS INTERNACIONALES, S.A. DE C.V. | 13 | 40,940.2 MXN | 31.6 % | 11.3 | 2009 - 2017 |
| DURFA, S. A. DE C. V. | 1 | 14,032.2 MXN | 148.4 % | 1.48 | 2016 - 2016 |
| ESCAMILLA ZENTENO AURORA | 1 | 604.8 MXN | 16 % | 0.16 | 2011 - 2011 |
| NETO S.A DE C.V. | 1 | 11,857.2 MXN | 125.4 % | 1.25 | 2016 - 2016 |
| VARGAS GARCIA HUMBERTO | 1 | 4,280 MXN | 16 % | 0.8 | 2013 - 2013 |
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=060.166.1515.01")
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=060.166.1515.01')
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=060.166.1515.01')