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Description
SEPARADOR VOLKMANN, DE UN GARFIO ROMO, LONGITUD DE 200 A 220 MM.
IMSS product code
535.814.6586.01
Each circle represents one of the 8 purchases of SEPARADORES made by the IMSS between 2009 and 2018.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Estado de México Poniente Almacen Delegacional En El Estado De Mexico Poniente | Estado de México | 2 | 937.3 MXN | 184.6 MXN | 23.7 % | 0.948 | 8 de julio de 2015 |
| Delegación Durango Almacen Delegacional En Durango | Durango | 1 | 1,363 MXN | 188 MXN | 16 % | 0.8 | 30 de noviembre de 2017 |
| Delegación Guanajuato Almacen Delegacional En Guanajuato | Guanajuato | 1 | 705.3 MXN | 97.3 MXN | 16 % | 0.32 | 17 de agosto de 2018 |
| Delegación Hidalgo Almacen Delegacional En Hidalgo | Hidalgo | 1 | 433.8 MXN | 17.2 MXN | 4.12 % | 0.0824 | 6 de agosto de 2015 |
| Delegación Oaxaca Almacen Delegacional En Oaxaca | Oaxaca | 1 | 478.5 MXN | 66 MXN | 16 % | 0.32 | 3 de noviembre de 2016 |
| Delegación San Luis Potosí Almacen Delegacional En San Luis Potosi | San Luis Potosi | 1 | 141.4 MXN | 18.5 MXN | 15 % | 0.15 | 17 de agosto de 2009 |
| Delegación Veracruz Norte Almacen Delegacional En Veracruz Norte | Veracruz | 1 | 468.6 MXN | 52 MXN | 12.5 % | 0.249 | 6 de abril de 2015 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| QUIRURGICA ORTOPEDICA, S. A. DE C. V. | 6 | 474.2 MXN | 13.4 % | 2.09 | 2014 - 2018 |
| ARTICULOS MEDICOS DACASA, S.A. DE C.V. | 1 | 130.9 MXN | 31.4 % | 0.628 | 2015 - 2015 |
| HIDRO HOSPITAL, S.A. DE C.V. | 1 | 18.5 MXN | 15 % | 0.15 | 2009 - 2009 |
Date updated in QQW
3 de octubre de 2022
Source(s)
Part of the project
Organization responsible for the import
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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=535.814.6586.01")
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=535.814.6586.01')
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=535.814.6586.01')