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Description
TIJERA MAYO-STILLE, CURVA, CON INSERTOS DE CARBURO DE TUNGSTENO, LONGITUD DE 170 MM.
IMSS product code
535.859.4876.01
Each circle represents one of the 16 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 | 7,748.8 MXN | 1,541 MXN | 21.4 % | 2.38 | 20 de marzo de 2013 |
| Delegación Estado de México Poniente Almacen Delegacional En El Estado De Mexico Poniente | Estado de México | 2 | 19,024 MXN | 2,624 MXN | 16 % | 4.8 | 6 de octubre de 2016 |
| Delegación Hidalgo Almacen Delegacional En Hidalgo | Hidalgo | 2 | 19,625.9 MXN | 205.1 MXN | 0.767 % | 0.384 | 9 de noviembre de 2012 |
| Delegación Baja California Almacen Delegacional En Baja California Norte | Baja California | 1 | 16,286.4 MXN | 2,668.8 MXN | 19.6 % | 3.92 | 20 de agosto de 2010 |
| Delegación Coahuila Almacen Delegacional En Coahuila | Coahuila | 1 | 1,809.6 MXN | - MXN | - | - | 4 de noviembre de 2015 |
| Delegación San Luis Potosí Almacen Delegacional En San Luis Potosi | San Luis Potosi | 1 | 2,018.3 MXN | 263.3 MXN | 15 % | 0.45 | 17 de agosto de 2009 |
| Delegación Sonora Almacen Delegacional En Sonora | Sonora | 1 | 6,786 MXN | - MXN | - | - | 25 de junio de 2010 |
| Delegación Tlaxcala Almacen Delegacional En Tlaxcala | Tlaxcala | 1 | 22,902.4 MXN | 5,859.6 MXN | 34.4 % | 2.75 | 26 de noviembre de 2015 |
| Delegación Veracruz Norte Almacen Delegacional En Veracruz Norte | Veracruz | 1 | 9,048 MXN | 1,604.9 MXN | 21.6 % | 2.59 | 4 de julio de 2018 |
| Delegación Veracruz Sur Almacen Delegacional En Veracruz Sur | Veracruz | 1 | 15,414.8 MXN | 1,769.2 MXN | 13 % | 2.85 | 15 de noviembre de 2018 |
| Delegación Zacatecas Almacen Delegacional En Zacatecas | Zacatecas | 1 | 3,393 MXN | 532.3 MXN | 18.6 % | 0.93 | 24 de marzo de 2013 |
| H. de Especialidades, "Dr. Bernardo Sepulveda Gutiérrez" Centro Médico Nacional Siglo XXI Umae Especialidades C.m.n. Siglo Xxi | Ciudad de México | 1 | 8,284.2 MXN | 4,541.5 MXN | 121.3 % | 8.49 | 1 de noviembre de 2012 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| QUIRURGICA ORTOPEDICA, S. A. DE C. V. | 9 | 6,563.9 MXN | 12 % | 10.5 | 2009 - 2018 |
| HEMOST, S. A. DE C. V. | 3 | 1,817.3 MXN | 8.49 % | 3.39 | 2012 - 2014 |
| DARMA REM, S.A. DE C.V. | 1 | 5,859.6 MXN | 34.4 % | 2.75 | 2015 - 2015 |
| DEWIMED, S. A. | 1 | 1,769.2 MXN | 13 % | 2.85 | 2018 - 2018 |
| HIDRO HOSPITAL, S.A. DE C.V. | 1 | 1,058.1 MXN | 38.8 % | 1.55 | 2010 - 2010 |
| IMPORTADORA MEDICA MEXICANA, S. A. | 1 | 4,541.5 MXN | 121.3 % | 8.49 | 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=535.859.4876.01")
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=535.859.4876.01')
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=535.859.4876.01')