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Description
CONECTORES DE PLASTICO EN "Y" PARA HIDROCEFALIA. TIPO CODMAN.
IMSS product code
060.233.0284.11
Each circle represents one of the 19 purchases of CONECTORES made by the IMSS between 2009 and 2018.
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| INSTRUMENTOS MEDICOS INTERNACIONALES, S.A. DE C.V. | 13 | 28,044.4 MXN | 734.6 % | 151.1 | 2009 - 2018 |
| DISTRIBUIDORA ESPEC. DE MEDICAMENTOS KM, SA DE CV | 1 | - MXN | - | - | 2012 - 2012 |
| MEZA MACIAS PERLA ABIGAIL | 1 | 1,193.2 MXN | 53.2 % | 0.532 | 2010 - 2010 |
| MIGUEL ANGEL PEREZ CERNA | 1 | 21,715.7 MXN | 49.4 % | 7.41 | 2016 - 2016 |
| PRODUCTOS MEDICOS E HIGIENICOS S.A. DE C.V. | 1 | 351 MXN | 9.18 % | 0.184 | 2013 - 2013 |
| PROQUIYMSA, S.A. DE C.V. | 1 | 2,069 MXN | 92.3 % | 0.923 | 2010 - 2010 |
| SOPORTE HOSPITALARIO CENTRAL SA DE CV | 1 | 233.5 MXN | 12.2 % | 0.122 | 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=060.233.0284.11")
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=060.233.0284.11')
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=060.233.0284.11')