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Description
GUATAS. DE TELA NO TEJIDA, DE ALGODON 100% O MEZCLAS DE FIBRAS DE ALGODON Y FIBRAS ARTIFICIALES Y/O SINTETICAS. LONGITUD 5 M. ANCHO: 5 CM.
IMSS product code
060.461.0147.12
Each circle represents one of the 6 purchases of GUATAS made by the IMSS between 2017 and 2018.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Coahuila Almacen Delegacional En Coahuila | Coahuila | 2 | 10,324.5 MXN | 6,828.6 MXN | 155 % | 199.2 | 27 de septiembre de 2018 |
| Oficinas Centrales Ofnas Centrales -reforma- Coordinacion De Abastecimiento | 2 | 696,503.6 MXN | 90,279 MXN | 14.7 % | 2,479.9 | 30 de noviembre de 2018 | |
| H. de Especialidades Cardiológicas No. 34, Centro Médico Nacional del Noreste. Umae Cardiologia En Nuevo Leon | Nuevo León | 1 | 1,044 MXN | 529.9 MXN | 103.1 % | 15.5 | 31 de julio de 2018 |
| H. de Pediatría, "Lic. Ignacio García Tellez" Centro Médico Nacional de Occidente, Jalisco. Umae Pediatria Jalisco | Jalisco | 1 | 1,252.8 MXN | 172.8 MXN | 16 % | 1.92 | 29 de junio de 2017 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| DEGASA, S. A. DE C. V. | 2 | 57,509.9 MXN | 34.2 % | 1,523.7 | 2018 - 2018 |
| CONSUMIBLES PARA LA SALUD, S.A. DE C.V. | 1 | 33,324.9 MXN | 13.3 % | 972.3 | 2017 - 2017 |
| DORIAN RUBISSEL MAZARIEGOS SOLIS | 1 | 6,272.9 MXN | 257.8 % | 183 | 2018 - 2018 |
| GOMEN HEALTH CARE, S.A. DE C.V. | 1 | 172.8 MXN | 16 % | 1.92 | 2017 - 2017 |
| MEDICA DALI, S. A. DE C. V. | 1 | 529.9 MXN | 103.1 % | 15.5 | 2018 - 2018 |
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=060.461.0147.12")
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=060.461.0147.12')
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=060.461.0147.12')