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Description
CARBONATO DE CALCIO PARA ANALISIS RA (ACS) POLVO TA.
IMSS product code
080.829.3658.01
Each circle represents one of the 11 purchases of REACTIVOS QUÍMICOS made by the IMSS between 2010 and 2016.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Sur del DF Almacen Delegacional En El D.f. Zona Sur | Ciudad de México | 6 | 9,266.8 MXN | 1,289.3 MXN | 17.8 % | 21.5 | 14 de junio de 2016 |
| Delegación Norte del DF Almacen Delegacional En El D.f. Zona Norte | Ciudad de México | 2 | 1,792.2 MXN | 248.7 MXN | 16.1 % | 3.87 | 1 de enero de 2011 |
| H. de Especialidades, "Gral. Div. Manuel Avila Camacho", Centro Médico Nacional, Puebla Umae Especialidades Puebla | Puebla | 2 | 164.8 MXN | 36.2 MXN | 29.1 % | 0.581 | 12 de enero de 2011 |
| H. de Especialidades, "Dr. Bernardo Sepulveda Gutiérrez" Centro Médico Nacional Siglo XXI Umae Especialidades C.m.n. Siglo Xxi | Ciudad de México | 1 | 1,081.1 MXN | 123.1 MXN | 12.8 % | 2.06 | 13 de mayo de 2010 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| DISTRIBUIDORA LAB-HOS, S.A. DE C.V. | 6 | 755.4 MXN | 19.8 % | 12.4 | 2010 - 2013 |
| FCD LABS, S.A. DE C.V. | 2 | 577.1 MXN | 16 % | 9.12 | 2012 - 2015 |
| IMPULSORA MEDICA, S. A. DE C. V. | 1 | 116.7 MXN | 16.2 % | 1.95 | 2010 - 2010 |
| PHARMA OSHA, S. DE R.L. DE C.V. | 1 | 216 MXN | 16 % | 4 | 2016 - 2016 |
| QUIMICA INDUSTRIAL Y DE SALUD, SA DE CV | 1 | 32.1 MXN | 26.8 % | 0.536 | 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=080.829.3658.01")
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=080.829.3658.01')
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=080.829.3658.01')