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Description
ACIDO ETILENDIAMINOTETRACETICO DIHIDRATADO (VERSENATO DE SODIO EDTA). RA. ACS. POLVO. FRASCO CON 500 G. TA.
IMSS product code
080.830.3499.11
Each circle represents one of the 8 purchases of REACTIVOS QUÍMICOS made by the IMSS between 2012 and 2018.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Chihuahua Almacen Delegacional En Chihuahua | Chihuahua | 4 | 9,065.6 MXN | 1,284.4 MXN | 14.9 % | 5 | 13 de marzo de 2015 |
| Delegación Jalisco Almacen Delegacional En Jalisco | Jalisco | 2 | 7,226.8 MXN | 962.8 MXN | 15.1 % | 3.48 | 27 de marzo de 2017 |
| H. de Especialidades, "Dr. Bernardo Sepulveda Gutiérrez" Centro Médico Nacional Siglo XXI Umae Especialidades C.m.n. Siglo Xxi | Ciudad de México | 1 | 20,301.2 MXN | 2,800.2 MXN | 16 % | 0.32 | 13 de octubre de 2016 |
| H. de Pediatría, Centro Médico Nacional Siglo XXI Umae Pediatria C.m.n. Siglo Xxi | Ciudad de México | 1 | 681.2 MXN | 94 MXN | 16 % | 0.16 | 27 de marzo de 2018 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| ABASTECEDORA INTEGRAL ESPECIALIZADA, SA DE CV | 2 | 2,894.1 MXN | 16 % | 0.48 | 2016 - 2018 |
| CONTROL TECNICO Y REPRESENTACIONES, S. A. DE C. V. | 2 | 650.6 MXN | 17.1 % | 3.37 | 2012 - 2012 |
| BIO LEBEN, S.A. DE C.V. | 1 | 556.8 MXN | 16 % | 1.92 | 2015 - 2015 |
| GARPI, S.A. DE C.V. | 1 | 662.4 MXN | 16 % | 1.92 | 2017 - 2017 |
| PIZAYA MOLINA JAIME ARTURO | 1 | 29.1 MXN | 7.53 % | 0.151 | 2012 - 2012 |
| QUIMICA TECH, S. A. DE C. V. | 1 | 348.4 MXN | 16 % | 1.12 | 2014 - 2014 |
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=080.830.3499.11")
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=080.830.3499.11')
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=080.830.3499.11')