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Description
SULFATO DE COBRE 5H2O RA - -(ACS) CRISTALES TA.
IMSS product code
080.830.3788.10
Each circle represents one of the 14 purchases of REACTIVOS QUÍMICOS made by the IMSS between 2009 and 2016.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Chihuahua Almacen Delegacional En Chihuahua | Chihuahua | 9 | 44,091.7 MXN | 6,990.4 MXN | 34.3 % | 28.8 | 29 de enero de 2016 |
| Delegación Chiapas Almacen Subdelegacional En Tapachula, Chiapas | Chiapas | 2 | 974.4 MXN | 390.7 MXN | 66.9 % | 2.68 | 31 de mayo de 2010 |
| Delegación Jalisco Almacen Delegacional En Jalisco | Jalisco | 1 | 1,670.4 MXN | - MXN | - | - | 31 de enero de 2011 |
| Delegación Oaxaca Almacen Delegacional En Oaxaca | Oaxaca | 1 | 65.3 MXN | - MXN | - | - | 1 de enero de 2010 |
| H. de Especialidades, "Dr. Bernardo Sepulveda Gutiérrez" Centro Médico Nacional Siglo XXI Umae Especialidades C.m.n. Siglo Xxi | Ciudad de México | 1 | 2,227.2 MXN | - MXN | - | - | 13 de mayo de 2010 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| CONTROL TECNICO Y REPRESENTACIONES, S. A. DE C. V. | 6 | 3,633.7 MXN | 18.9 % | 16.7 | 2009 - 2013 |
| PIZAYA MOLINA JAIME ARTURO | 2 | 1,061.2 MXN | 73.7 % | 4.92 | 2010 - 2012 |
| PROMELAB COMERCIALIZADORA, S.A. DE C.V. | 2 | 390.7 MXN | 66.9 % | 2.68 | 2010 - 2010 |
| QUIMICA TECH, S. A. DE C. V. | 2 | 1,102.4 MXN | 16 % | 3.36 | 2014 - 2016 |
| BIO LEBEN, S.A. DE C.V. | 1 | 1,193.1 MXN | 16 % | 3.84 | 2015 - 2015 |
| DISTRIBUIDORA LAB-HOS, S.A. DE C.V. | 1 | - MXN | - | - | 2010 - 2010 |
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=080.830.3788.10")
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=080.830.3788.10')
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=080.830.3788.10')