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Description
CISTINA Y TRIPTICASEINA CTAAGAR. PARA CONSERVAR CEPAS,INVESTIGAR LA MOVILIDAD DEMICROORGANISMOS DIFICILES Y,SI SE LE A\ADEN CARBOHIDRATOS, HACER ESTUDIOS DEFERMENTACION TA.
IMSS product code
080.610.0020.01
Each circle represents one of the 24 purchases of MEDIOS DE CULTIVO AGAR made by the IMSS between 2009 and 2017.
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| Q.M.H. ABASTECEDORES, S. A. DE C. V. | 6 | 3,846.1 MXN | 20.6 % | 8.25 | 2009 - 2010 |
| MCD LAB, S.A. DE C.V. | 3 | 1,362.7 MXN | 4.98 % | 3.44 | 2009 - 2011 |
| DISTRIBUIDORA LAB-HOS, S.A. DE C.V. | 2 | 287.4 MXN | 11.7 % | 0.688 | 2011 - 2013 |
| SOPORTE MEDICO INTEGRAL, S.A. DE C.V. | 2 | 2,627.3 MXN | 88.4 % | 5.15 | 2013 - 2017 |
| TESSAN GARCIA OMAR FARID | 2 | 832 MXN | 16 % | 2.08 | 2011 - 2011 |
| CONTROL TECNICO Y REPRESENTACIONES, S. A. DE C. V. | 1 | 3,291 MXN | 322.2 % | 6.44 | 2009 - 2009 |
| ESCAMILLA ZENTENO AURORA | 1 | 1,596.5 MXN | 30.7 % | 3.68 | 2013 - 2013 |
| FCD LABS, S.A. DE C.V. | 1 | 25.1 MXN | 5.45 % | 0.0545 | 2010 - 2010 |
| GRUPO BIOMYRE SC | 1 | 395.5 MXN | 16 % | 0.32 | 2016 - 2016 |
| PRODUCTOS MEDICOS E HIGIENICOS S.A. DE C.V. | 1 | - MXN | - | - | 2013 - 2013 |
| PROVEEDORA MEX. DE ARTS. DE CUR. Y LAB, SA CV | 1 | 184 MXN | 42.5 % | 0.425 | 2013 - 2013 |
| SANCHEZ ROSAS CESAR | 1 | 1,256.2 MXN | 29 % | 2.9 | 2013 - 2013 |
| SEALAB, S.A. DE C.V. | 1 | 731.6 MXN | 18.4 % | 1.84 | 2011 - 2011 |
| SOPORTE HOSPITALARIO CENTRAL SA DE CV | 1 | 519.2 MXN | 16 % | 0.32 | 2015 - 2015 |
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=080.610.0020.01")
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=080.610.0020.01')
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=080.610.0020.01')