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Description
CANULAS PARA DRENAJE TORACICO. RECTA CON MARCA RADIOPACA LONGITUD 45 CM. CALIBRE 40 FR.
IMSS product code
060.166.1689.01
Each circle represents one of the 27 purchases of CÁNULAS made by the IMSS between 2009 and 2018.
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| SATORI IMPULSORA DE ARTICULOS MEDICOS Y ESCOLARES, | 10 | 1,020.2 MXN | 48.7 % | 10.2 | 2012 - 2012 |
| ALDACO MEDICAL INSTRUMENTS, S.A. DE C.V. | 2 | 210.1 MXN | 7.99 % | 1.92 | 2011 - 2011 |
| INSTRUMENTOS MEDICOS INTERNACIONALES, S.A. DE C.V. | 2 | 855.4 MXN | 16.5 % | 7.56 | 2009 - 2010 |
| SISTEMAS HOSPITALARIOS DALCA S.A DE C.V. | 2 | - MXN | - | - | 2010 - 2010 |
| ARTIMEDICA, S.A. DE C.V. | 1 | 1,595.5 MXN | 16 % | 14.6 | 2011 - 2011 |
| COMETA MERCANTIL, S.A. DE C.V. | 1 | 370.6 MXN | 32.5 % | 3.25 | 2010 - 2010 |
| DISTRIBUIDORA SEVI, S.A. DE C.V. | 1 | - MXN | - | - | 2011 - 2011 |
| ESCAMILLA ZENTENO AURORA | 1 | 335 MXN | 21 % | 2.94 | 2010 - 2010 |
| EXE CORPORATIVO SA DE CV | 1 | 53.6 MXN | 13.4 % | 0.535 | 2012 - 2012 |
| JTC PROVEEDOR MEDICO, S. A. DE C. V. | 1 | 166.4 MXN | 16 % | 3.2 | 2016 - 2016 |
| LEAMSI, S.A. DE C.V. | 1 | 1,382.4 MXN | 16 % | 14.4 | 2017 - 2017 |
| PRESEFA, S. A. DE C. V. | 1 | 440 MXN | 16 % | 3.52 | 2018 - 2018 |
| PROMEDICA GARCIA, S. A. DE C. V. | 1 | 0.0012 MXN | 0.00145 % | 0.0000168 | 2014 - 2014 |
| REPRESENTACIONES MAY, S.A. DE C.V. | 1 | 73.7 MXN | 63.3 % | 0.735 | 2012 - 2012 |
| SURGIPLAST, SA DE CV | 1 | 140.3 MXN | 16 % | 1.28 | 2011 - 2011 |
Date updated in QQW
3 de octubre de 2022
Source(s)
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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=060.166.1689.01")
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=060.166.1689.01')
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=060.166.1689.01')