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Description
ASA PARA CUERPOS EXTRAYOS BILLEAU (CHICA).
IMSS product code
537.089.0260.01
Each circle represents one of the 17 purchases of ASA made by the IMSS between 2009 and 2018.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Hidalgo Almacen Delegacional En Hidalgo | Hidalgo | 2 | 638.9 MXN | 67.9 MXN | 10.4 % | 0.369 | 6 de agosto de 2015 |
| Delegación Quintana Roo Almacen Delegacional En Quintana Roo | Quintana Roo | 2 | 2,871.5 MXN | 638.4 MXN | 36.6 % | 4.5 | 9 de mayo de 2018 |
| Delegación San Luis Potosí Almacen Delegacional En San Luis Potosi | San Luis Potosi | 2 | 5,143.5 MXN | 399.9 MXN | 11.6 % | 3.13 | 6 de junio de 2013 |
| Delegación Veracruz Norte Almacen Delegacional En Veracruz Norte | Veracruz | 2 | 1,330.1 MXN | 793.8 MXN | 115.3 % | 2.31 | 11 de julio de 2017 |
| Delegación Zacatecas Almacen Delegacional En Zacatecas | Zacatecas | 2 | 1,715.6 MXN | 158.4 MXN | 9.39 % | 0.751 | 17 de julio de 2017 |
| Delegación Aguascalientes Almacen Delegacional En Aguascalientes | Aguascalientes | 1 | 561.3 MXN | 143.7 MXN | 34.4 % | 0.688 | 8 de agosto de 2018 |
| Delegación Baja California Sur Almacen Delegacional En Baja California Sur | Baja California Sur | 1 | 232 MXN | - MXN | - | - | 31 de enero de 2017 |
| Delegación Chihuahua Almacen Delegacional En Chihuahua | Chihuahua | 1 | 250.6 MXN | 61.2 MXN | 32.3 % | 0.323 | 5 de septiembre de 2014 |
| Delegación Coahuila Almacen Delegacional En Coahuila | Coahuila | 1 | 210.1 MXN | 9.06 MXN | 4.51 % | 0.0451 | 6 de julio de 2010 |
| Delegación Estado de México Poniente Almacen Delegacional En El Estado De Mexico Poniente | Estado de México | 1 | 408.3 MXN | 29.7 MXN | 7.83 % | 0.157 | 6 de junio de 2014 |
| Delegación Sinaloa Almacen Delegacional En Sinaloa | Sinaloa | 1 | 489.5 MXN | 87.4 MXN | 21.7 % | 0.435 | 16 de abril de 2010 |
| Delegación Tamaulipas Almacen Delegacional En Tamaulipas | Tamaulipas | 1 | 417.6 MXN | 57.6 MXN | 16 % | 0.32 | 26 de abril de 2012 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| QUIRURGICA ORTOPEDICA, S. A. DE C. V. | 7 | 1,166.4 MXN | 19.6 % | 8.27 | 2012 - 2017 |
| DEWIMED, S. A. | 4 | 163.1 MXN | 11 % | 0.782 | 2010 - 2018 |
| HEMOST, S. A. DE C. V. | 2 | 186.6 MXN | 9.29 % | 0.908 | 2014 - 2018 |
| HIDRO HOSPITAL, S.A. DE C.V. | 2 | 104.7 MXN | 18.4 % | 0.585 | 2009 - 2010 |
| INSTRUMENTAL E IMPLANTES ORTOPEDICOS S.A. DE C.V. | 1 | 61.2 MXN | 32.3 % | 0.323 | 2014 - 2014 |
| VARGAS ALVAREZ ANA LUISA | 1 | 765 MXN | 214.7 % | 2.15 | 2017 - 2017 |
Date updated in QQW
3 de octubre de 2022
Source(s)
Part of the project
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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=537.089.0260.01")
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=537.089.0260.01')
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=537.089.0260.01')