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Description
TUBOS PARA MICROCENTRIFUGA,DE POLIPROPILENO, CON CAPACIDAD DE 0.6 ML, COLOR BLANCO.
IMSS product code
080.909.1515.10
Each circle represents one of the 27 purchases of TUBOS made by the IMSS between 2009 and 2019.
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| CONTROL TECNICO Y REPRESENTACIONES, S. A. DE C. V. | 6 | 17,325.9 MXN | 93.8 % | 174.3 | 2009 - 2011 |
| BONILLA NAVARRETE ISAAC JOEL | 5 | 1,840.3 MXN | 47.9 % | 4.79 | 2018 - 2018 |
| CASLAB DE MEXICO, S. A. DE C. V. | 2 | 57.6 MXN | 8 % | 0.32 | 2018 - 2019 |
| DISTRIBUIDORA LAB-HOS, S.A. DE C.V. | 2 | 676.3 MXN | 14.6 % | 4.43 | 2010 - 2011 |
| SUSTANCIAS QUIMICAS Y EMPAQUES, S.A. DE C.V. | 2 | 2,484 MXN | 26.2 % | 6.3 | 2014 - 2015 |
| TECNOLOGIA CROMATOGRAFICA, S.A. DE C.V. | 2 | - MXN | - | - | 2013 - 2013 |
| ABALAT, S.A. DE C.V. | 1 | - MXN | - | - | 2014 - 2014 |
| BIOS-SISTEMAS PARA LA VIDA S.A. DE C.V. | 1 | 3,402.1 MXN | 113.4 % | 13.6 | 2013 - 2013 |
| DISTRIBUIDORA DIEVSA SA DE CV | 1 | 338.6 MXN | 16 % | 0.64 | 2012 - 2012 |
| EIBL LABORATORIES, S.A. DE C.V. | 1 | 1,418.5 MXN | 317.5 % | 41.3 | 2009 - 2009 |
| INDUSTRIAS BIOSELEC, S.A. DE C.V. | 1 | - MXN | - | - | 2010 - 2010 |
| NARVAEZ SANCHEZ LILIANA | 1 | 707.8 MXN | 174.4 % | 5.23 | 2010 - 2010 |
| PHARMA OSHA, S. DE R.L. DE C.V. | 1 | 501.8 MXN | 16 % | 2.24 | 2016 - 2016 |
| SDP MEXICO, S.A. DE C.V. | 1 | - MXN | - | - | 2009 - 2009 |
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=080.909.1515.10")
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=080.909.1515.10')
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=080.909.1515.10')