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Description
TIJERA MAYO-STILLE, RECTA, CON INSERTOS DE CARBURO DE TUNGSTENO, LONGITUD DE 145 A 155 MM.
IMSS product code
535.859.4884.01
Each circle represents one of the 19 purchases of TIJERA made by the IMSS between 2009 and 2018.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Durango Almacen Delegacional En Durango | Durango | 3 | 104,835.7 MXN | 14,415.2 MXN | 11.4 % | 25.3 | 20 de marzo de 2013 |
| Delegación Estado de México Poniente Almacen Delegacional En El Estado De Mexico Poniente | Estado de México | 2 | 7,096.9 MXN | 204.5 MXN | 8 % | 0.48 | 6 de octubre de 2016 |
| Delegación Hidalgo Almacen Delegacional En Hidalgo | Hidalgo | 2 | 17,289.8 MXN | - MXN | - | - | 9 de noviembre de 2012 |
| Delegación Zacatecas Almacen Delegacional En Zacatecas | Zacatecas | 2 | 2,818.8 MXN | 495.8 MXN | 23 % | 1.08 | 6 de julio de 2017 |
| Delegación Coahuila Almacen Delegacional En Coahuila | Coahuila | 1 | 1,020.8 MXN | - MXN | - | - | 4 de noviembre de 2015 |
| Delegación Guanajuato Almacen Delegacional En Guanajuato | Guanajuato | 1 | 2,071.8 MXN | 1,103.4 MXN | 113.9 % | 2.28 | 17 de agosto de 2018 |
| Delegación Oaxaca Almacen Delegacional En Oaxaca | Oaxaca | 1 | 1,122.9 MXN | - MXN | - | - | 3 de noviembre de 2016 |
| Delegación Querétaro Almacen Delegacional En Queretaro | Querétaro | 1 | 14,729.7 MXN | 4,764.9 MXN | 47.8 % | 6.69 | 30 de noviembre de 2016 |
| Delegación San Luis Potosí Almacen Delegacional En San Luis Potosi | San Luis Potosi | 1 | 1,535.3 MXN | - MXN | - | - | 1 de octubre de 2009 |
| Delegación Tamaulipas Almacen Delegacional En Tamaulipas | Tamaulipas | 1 | 3,062.4 MXN | 715.7 MXN | 30.5 % | 1.22 | 27 de julio de 2015 |
| Delegación Veracruz Norte Almacen Delegacional En Veracruz Norte | Veracruz | 1 | 6,848.6 MXN | 1,038.2 MXN | 17.9 % | 2.14 | 4 de julio de 2018 |
| Delegación Veracruz Sur Almacen Delegacional En Veracruz Sur | Veracruz | 1 | 4,559.7 MXN | - MXN | - | - | 15 de noviembre de 2018 |
| H. de Especialidades, "Dr. Bernardo Sepulveda Gutiérrez" Centro Médico Nacional Siglo XXI Umae Especialidades C.m.n. Siglo Xxi | Ciudad de México | 1 | 7,412.2 MXN | 4,099.7 MXN | 123.8 % | 8.66 | 1 de noviembre de 2012 |
| H. de Especialidades No. 14 "Adolfo Ruíz Cortines", Veracruz. Umae Especialidades Veracruz (nte.) | Veracruz | 1 | 2,296.8 MXN | 316.8 MXN | 16 % | 0.64 | 4 de agosto de 2010 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| QUIRURGICA ORTOPEDICA, S. A. DE C. V. | 11 | 8,017.3 MXN | 20.2 % | 16.1 | 2009 - 2018 |
| HEMOST, S. A. DE C. V. | 4 | 1,259.9 MXN | 8.95 % | 2.66 | 2012 - 2018 |
| DEWIMED, S. A. | 1 | - MXN | - | - | 2018 - 2018 |
| IMPORTADORA MEDICA MEXICANA, S. A. | 1 | 4,099.7 MXN | 123.8 % | 8.66 | 2012 - 2012 |
| INSTRUMENTOS MEDICOS INTERNACIONALES, S.A. DE C.V. | 1 | 9,012.4 MXN | 16.1 % | 14.4 | 2009 - 2009 |
| PROVEEDORA MAHO, S.A. DE C.V. | 1 | 4,764.9 MXN | 47.8 % | 6.69 | 2016 - 2016 |
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=535.859.4884.01")
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=535.859.4884.01')
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=535.859.4884.01')