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Description
IMPLANTES. CONFORMADOR DE LA PROTESIS DE OJO. PARA ENUCLEACION. PARA ESFERAS DE METILMETACRILATO TRANSPARENTE. MEDIDAS: 16 MM.
IMSS product code
060.344.0033.11
Each circle represents one of the 22 purchases of IMPLANTES made by the IMSS between 2009 and 2018.
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| ESCAMILLA ZENTENO AURORA | 6 | 4,565.6 MXN | 22.2 % | 11.7 | 2009 - 2012 |
| GAONA JIMENEZ MARIA DE LOS ANGELES | 2 | 2,504 MXN | 16 % | 8 | 2013 - 2013 |
| JOSE ALBERTO SOTO LEON | 2 | 2,196.6 MXN | 20.5 % | 4.22 | 2016 - 2018 |
| ROGAMAR SOLUCIONES INTEGRALES, S.A . DE C. V. | 2 | 4,058.3 MXN | 13 % | 8.01 | 2017 - 2018 |
| SUMINISTROS FEGA, S.A. DE C.V. | 2 | - MXN | - | - | 2009 - 2009 |
| BERNIE MEDICAL, S. A. DE C. V. | 1 | 281.6 MXN | 16 % | 0.64 | 2011 - 2011 |
| COMERCIALIZADORA MEDICA DEL SURESTE, S.A. DE C.V. | 1 | 1,448 MXN | 184.2 % | 3.68 | 2009 - 2009 |
| CORPORACION ARMO, S.A. DE C.V. | 1 | 2,275.2 MXN | 16 % | 5.76 | 2014 - 2014 |
| EMAA PRODUCTOS ORGANICOS DE MEXICO S DE RL DE CV | 1 | 228.5 MXN | 11.1 % | 0.554 | 2015 - 2015 |
| HOSPI MEDICAL, S. A. DE C. V. | 1 | 1,270.9 MXN | 11.6 % | 3.49 | 2012 - 2012 |
| IGARTUA PEREZ ALLENDE ANDREA PAULA | 1 | 167.5 MXN | 40.6 % | 0.406 | 2015 - 2015 |
| IMPULSORA MEDICA, S. A. DE C. V. | 1 | 1,156 MXN | 90.3 % | 1.81 | 2010 - 2010 |
| JOSE RENE LOPEZ CAZARES | 1 | 196.7 MXN | 40.6 % | 0.406 | 2016 - 2016 |
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=060.344.0033.11")
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=060.344.0033.11')
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=060.344.0033.11')