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Description
ACIDO PERYODICO, MINIMO 95.5%.RA.CRISTALES. FRASCO CON 100 G. TA.
IMSS product code
080.830.4174.11
Each circle represents one of the 33 purchases of REACTIVOS QUÍMICOS made by the IMSS between 2010 and 2018.
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| CONTROL TECNICO Y REPRESENTACIONES, S. A. DE C. V. | 11 | 21,974.9 MXN | 14.2 % | 15 | 2010 - 2013 |
| INSTRUMENTOS Y ACCESORIOS AUTOMATIZADOS, S.A. DE C | 5 | 26,021.4 MXN | 39.6 % | 3.92 | 2016 - 2016 |
| CASLAB DE MEXICO, S. A. DE C. V. | 3 | 37,536.3 MXN | 21.4 % | 8.58 | 2017 - 2018 |
| ODICALP, S.A. DE C.V. | 2 | 1,160.7 MXN | 2.17 % | 0.26 | 2017 - 2018 |
| ABALAT, S.A. DE C.V. | 1 | - MXN | - | - | 2014 - 2014 |
| ABASTECEDORA INTEGRAL ESPECIALIZADA, SA DE CV | 1 | 16,227.5 MXN | 113.3 % | 3.4 | 2015 - 2015 |
| CIENTIFICA Y SALUD S.A. DE C.V. | 1 | 1,580.1 MXN | 88.6 % | 1.77 | 2014 - 2014 |
| CORPORACION MEDIGROUP S. DE R.L. DE C.V. | 1 | - MXN | - | - | 2015 - 2015 |
| CRUZ TOLEDO MARIA DEL CARMEN | 1 | - MXN | - | - | 2011 - 2011 |
| GRUPO BIOMYRE SC | 1 | - MXN | - | - | 2016 - 2016 |
| GUTIERREZ CASTA?EDA FERNANDO | 1 | 2,517.7 MXN | 218.7 % | 2.19 | 2011 - 2011 |
| LABSSA, S.A. DE C.V. | 1 | 499.7 MXN | 30.1 % | 0.301 | 2013 - 2013 |
| MEDICA DALI, S. A. DE C. V. | 1 | - MXN | - | - | 2016 - 2016 |
| REPRESENTACIONES MEDICAS Y DE LABORATORIOS DE GUAD | 1 | - MXN | - | - | 2015 - 2015 |
| SOPORTE MEDICO INTEGRAL, S.A. DE C.V. | 1 | - MXN | - | - | 2012 - 2012 |
| SUSTANCIAS QUIMICAS Y EMPAQUES, S.A. DE C.V. | 1 | - MXN | - | - | 2018 - 2018 |
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=080.830.4174.11")
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=080.830.4174.11')
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=080.830.4174.11')