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Description
ACETATO DE SODIO ANHIDRO RAPOLVO TA.
IMSS product code
080.830.3895.10
Each circle represents one of the 20 purchases of REACTIVOS QUÍMICOS made by the IMSS between 2009 and 2018.
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| DISTRIBUIDORA LAB-HOS, S.A. DE C.V. | 3 | 20.9 MXN | 3.2 % | 0.288 | 2010 - 2012 |
| FCD LABS, S.A. DE C.V. | 2 | 81.8 MXN | 4.9 % | 0.568 | 2012 - 2013 |
| GUTIERREZ CASTA?EDA FERNANDO | 2 | - MXN | - | - | 2011 - 2011 |
| INTERACTIVOS PARA LABORATORIO S.A. DE C.V. | 2 | 72 MXN | 9.92 % | 0.992 | 2009 - 2010 |
| ABALAT, S.A. DE C.V. | 1 | 27.4 MXN | 16 % | 0.16 | 2014 - 2014 |
| ABASTECEDORA INTEGRAL ESPECIALIZADA, SA DE CV | 1 | 104.6 MXN | 16 % | 0.48 | 2015 - 2015 |
| CODEMED, S.A. DE C.V. | 1 | 246.1 MXN | 16 % | 0.96 | 2018 - 2018 |
| DISTRIBUCION Y MANTENIMIENTO DEL NOROESTE SA DE CV | 1 | 38.7 MXN | 36.8 % | 0.368 | 2009 - 2009 |
| DISTRIBUCIONES MEDICAS R Y G SA DE CV | 1 | 62.2 MXN | 62 % | 0.62 | 2013 - 2013 |
| DISTRIBUIDORA DIEVSA SA DE CV | 1 | 269.7 MXN | 185.2 % | 1.85 | 2012 - 2012 |
| EIBL LABORATORIES, S.A. DE C.V. | 1 | - MXN | - | - | 2009 - 2009 |
| GRUPO MEDIZZIN, S. A. DE C. V. | 1 | 23,045.5 MXN | 257.7 % | 20.6 | 2011 - 2011 |
| IMPULSORA MEDICA, S. A. DE C. V. | 1 | - MXN | - | - | 2011 - 2011 |
| ODICALP, S.A. DE C.V. | 1 | 128.3 MXN | 16 % | 0.48 | 2017 - 2017 |
| PRODUCTOS MEDICOS E HIGIENICOS S.A. DE C.V. | 1 | 285.9 MXN | 272.2 % | 2.72 | 2009 - 2009 |
Date updated in QQW
3 de octubre de 2022
Source(s)
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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=080.830.3895.10")
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=080.830.3895.10')
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=080.830.3895.10')