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Description
SEPARADOR DEAVER, VALVA DE 19 MM. X 180 MM.
IMSS product code
535.814.6263.01
Each circle represents one of the 16 purchases of SEPARADORES made by the IMSS between 2010 and 2018.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Durango Almacen Delegacional En Durango | Durango | 2 | 2,085.9 MXN | 295 MXN | 16.5 % | 1.98 | 22 de mayo de 2018 |
| Delegación Hidalgo Almacen Delegacional En Hidalgo | Hidalgo | 2 | 638 MXN | 16 MXN | 8 % | 0.16 | 6 de agosto de 2015 |
| Delegación Veracruz Sur Almacen Delegacional En Veracruz Sur | Veracruz | 2 | 1,988.4 MXN | 355.1 MXN | 38.5 % | 1.54 | 3 de octubre de 2016 |
| Delegación Aguascalientes Almacen Delegacional En Aguascalientes | Aguascalientes | 1 | 336.4 MXN | 39.1 MXN | 13.2 % | 0.263 | 8 de agosto de 2018 |
| Delegación Coahuila Almacen Delegacional En Coahuila | Coahuila | 1 | 313.2 MXN | - MXN | - | - | 6 de julio de 2010 |
| Delegación Oaxaca Almacen Delegacional En Oaxaca | Oaxaca | 1 | 336.4 MXN | - MXN | - | - | 3 de noviembre de 2016 |
| Delegación Quintana Roo Almacen Delegacional En Quintana Roo | Quintana Roo | 1 | 828.2 MXN | - MXN | - | - | 5 de febrero de 2013 |
| Delegación San Luis Potosí Almacen Delegacional En San Luis Potosi | San Luis Potosi | 1 | 1,252.8 MXN | 296 MXN | 30.9 % | 2.47 | 6 de junio de 2013 |
| Delegación Sonora Almacen Delegacional En Sonora | Sonora | 1 | 277.5 MXN | - MXN | - | - | 25 de junio de 2010 |
| Delegación Tamaulipas Almacen Delegacional En Tamaulipas | Tamaulipas | 1 | 1,148.4 MXN | 275.8 MXN | 31.6 % | 0.948 | 27 de septiembre de 2016 |
| H. de Especialidades, "Lic. Ignacio García Tellez" Centro Médico Nacional de Occidente, Jalisco Umae Especialidades Jalisco | Jalisco | 1 | 2,179.1 MXN | 300.6 MXN | 16 % | 0.8 | 3 de noviembre de 2014 |
| H. de Especialidades No. 2, "Luis Donaldo Colosio Murrieta", Centro Médico Nacional del Noroeste, Cd. Obregón Sonora Umae Especialidades Sonora | Sonora | 1 | 3,079.6 MXN | 2,497.8 MXN | 429.4 % | 8.59 | 19 de julio de 2016 |
| H. de Especialidades Núm 71, Torreón, Coahuila Umae Especialidades Coahuila | Coahuila | 1 | 3,203.4 MXN | 750.3 MXN | 30.6 % | 3.67 | 26 de agosto de 2010 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| QUIRURGICA ORTOPEDICA, S. A. DE C. V. | 6 | 351.1 MXN | 10 % | 2.9 | 2010 - 2018 |
| HEMOST, S. A. DE C. V. | 4 | 295 MXN | 8.24 % | 1.98 | 2016 - 2018 |
| DEWIMED, S. A. | 1 | 355.1 MXN | 76.9 % | 1.54 | 2015 - 2015 |
| DURFA, S. A. DE C. V. | 1 | 750.3 MXN | 30.6 % | 3.67 | 2010 - 2010 |
| MIRA DE OCCIDENTE S.A DE C.V. | 1 | 300.6 MXN | 16 % | 0.8 | 2014 - 2014 |
| MULTISERVICIOS METZOR, S. DE R.L. DE C.V. | 1 | 2,497.8 MXN | 429.4 % | 8.59 | 2016 - 2016 |
| PROQUIGAMA, S.A. DE C.V. | 1 | - MXN | - | - | 2010 - 2010 |
| REACTIVOS Y PRODUCTOS QUIMICOS GUERRERO, S.A. C.V. | 1 | 275.8 MXN | 31.6 % | 0.948 | 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=535.814.6263.01")
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=535.814.6263.01')
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=535.814.6263.01')