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Description
TIJERA MAYO-STILLE, CURVA, CON INSERTOS DE CARBURO DE TUNGSTENO, LONGITUD DE 145 A 155 MM.
IMSS product code
535.859.4868.01
Each circle represents one of the 23 purchases of TIJERA made by the IMSS between 2010 and 2018.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Chiapas Almacen Subdelegacional En Tapachula, Chiapas | Chiapas | 2 | 11,518.8 MXN | 886.4 MXN | 23.2 % | 1.84 | 27 de julio de 2017 |
| Delegación Durango Almacen Delegacional En Durango | Durango | 2 | 4,892.9 MXN | 1,626.4 MXN | 37.7 % | 3.02 | 20 de marzo de 2013 |
| Delegación Guanajuato Almacen Delegacional En Guanajuato | Guanajuato | 2 | 13,764.6 MXN | 2,013 MXN | 39.9 % | 4.04 | 17 de agosto de 2018 |
| Delegación Hidalgo Almacen Delegacional En Hidalgo | Hidalgo | 2 | 18,043.8 MXN | 220.2 MXN | 1.74 % | 0.452 | 9 de noviembre de 2012 |
| Delegación Veracruz Sur Almacen Delegacional En Veracruz Sur | Veracruz | 2 | 5,270.6 MXN | 138.7 MXN | 12.1 % | 0.242 | 15 de noviembre de 2018 |
| Delegación Zacatecas Almacen Delegacional En Zacatecas | Zacatecas | 2 | 3,393 MXN | 57.7 MXN | 1.73 % | 0.104 | 6 de julio de 2017 |
| Delegación Colima Almacen Delegacional En Colima | Colima | 1 | 2,670 MXN | 368.3 MXN | 16 % | 0.48 | 22 de diciembre de 2011 |
| Delegación Estado de México Poniente Almacen Delegacional En El Estado De Mexico Poniente | Estado de México | 1 | 5,614.4 MXN | 774.4 MXN | 16 % | 1.6 | 6 de octubre de 2016 |
| Delegación Michoacán Almacen Delegacional En Michoacan | Michoacán | 1 | 800.4 MXN | 228.3 MXN | 39.9 % | 0.399 | 27 de junio de 2017 |
| Delegación Oaxaca Almacen Delegacional En Oaxaca | Oaxaca | 1 | 2,245.8 MXN | 309.8 MXN | 16 % | 0.64 | 3 de noviembre de 2016 |
| Delegación Quintana Roo Almacen Delegacional En Quintana Roo | Quintana Roo | 1 | 17,593.5 MXN | 4,080.6 MXN | 30.2 % | 6.64 | 9 de mayo de 2018 |
| Delegación San Luis Potosí Almacen Delegacional En San Luis Potosi | San Luis Potosi | 1 | 983.3 MXN | 428.4 MXN | 77.2 % | 0.772 | 14 de junio de 2013 |
| Delegación Sonora Almacen Delegacional En Sonora | Sonora | 1 | 14,355 MXN | 876.6 MXN | 6.5 % | 1.63 | 25 de junio de 2010 |
| Delegación Tamaulipas Almacen Delegacional En Tamaulipas | Tamaulipas | 1 | 1,531.2 MXN | 654.3 MXN | 74.6 % | 1.49 | 27 de julio de 2015 |
| Delegación Veracruz Norte Almacen Delegacional En Veracruz Norte | Veracruz | 1 | 689 MXN | 134.1 MXN | 24.2 % | 0.242 | 13 de diciembre de 2013 |
| Delegación Yucatán Almacen Delegacional En Yucatan | Yucatán | 1 | 4,134.2 MXN | 1,390.5 MXN | 50.7 % | 3.04 | 29 de octubre de 2014 |
| 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 | 3,998.5 MXN | 117.1 % | 8.2 | 1 de noviembre de 2012 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| QUIRURGICA ORTOPEDICA, S. A. DE C. V. | 15 | 7,545.2 MXN | 24.1 % | 15.5 | 2010 - 2018 |
| HEMOST, S. A. DE C. V. | 3 | 4,220.7 MXN | 18.2 % | 6.89 | 2013 - 2018 |
| DEWIMED, S. A. | 1 | - MXN | - | - | 2018 - 2018 |
| FARMACIA DERMATOLOGICA Y ESPECIALIDADES S.A. DE C. | 1 | 368.3 MXN | 16 % | 0.48 | 2011 - 2011 |
| HGOMEZ COORPORATIVO EMPRESARIAL, S.A. DE C.V. | 1 | 428.4 MXN | 77.2 % | 0.772 | 2013 - 2013 |
| HIDRO HOSPITAL, S.A. DE C.V. | 1 | 1,625 MXN | 75.4 % | 3.01 | 2010 - 2010 |
| IMPORTADORA MEDICA MEXICANA, S. A. | 1 | 3,998.5 MXN | 117.1 % | 8.2 | 2012 - 2012 |
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=535.859.4868.01")
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=535.859.4868.01')
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=535.859.4868.01')