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Description
ACIDO PERYODICO MINIMO 95.5%RA CRISTALES TA.
IMSS product code
080.830.4174.10
Each circle represents one of the 42 purchases of REACTIVOS QUÍMICOS made by the IMSS between 2009 and 2012.
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| CONTROL TECNICO Y REPRESENTACIONES, S. A. DE C. V. | 34 | 6,125 MXN | 4.93 % | 5.5 | 2009 - 2012 |
| QUIMICA INDUSTRIAL Y DE SALUD, SA DE CV | 3 | 7,934.6 MXN | 26.4 % | 7.13 | 2010 - 2011 |
| COMPA?IA INTERNACIONAL DE DISTRIBUCIONES, SA DE CV | 1 | 486.4 MXN | 43.7 % | 0.437 | 2010 - 2010 |
| CORPORACION ARMO, S.A. DE C.V. | 1 | 30,114.1 MXN | 57.9 % | 13.9 | 2011 - 2011 |
| CORPORATIVO LAYN PLUS, S. A. DE C. V. | 1 | 6,486 MXN | 97.2 % | 5.83 | 2010 - 2010 |
| GENESIS HEALTHCARE ADVISERS, S. A. DE C. V. | 1 | 4,988.1 MXN | 37.4 % | 4.49 | 2010 - 2010 |
| GRUPO RUVEL, S.A. DE C.V. | 1 | 20,300.8 MXN | 156.7 % | 18.8 | 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=080.830.4174.10")
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=080.830.4174.10')
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=080.830.4174.10')