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Description
SEPARADOR CUSHING, VALVA DE 10 MM., LONGITUD DE 200 MM.
IMSS product code
535.814.6917.01
Each circle represents one of the 6 purchases of SEPARADORES made by the IMSS between 2009 and 2017.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Coahuila Almacen Delegacional En Coahuila | Coahuila | 1 | 668.2 MXN | - MXN | - | - | 4 de noviembre de 2015 |
| Delegación Durango Almacen Delegacional En Durango | Durango | 1 | 986 MXN | 136 MXN | 16 % | 0.32 | 30 de noviembre de 2017 |
| Delegación Estado de México Poniente Almacen Delegacional En El Estado De Mexico Poniente | Estado de México | 1 | 895.7 MXN | 187.7 MXN | 26.5 % | 0.53 | 14 de agosto de 2015 |
| Delegación Oaxaca Almacen Delegacional En Oaxaca | Oaxaca | 1 | 459.4 MXN | 63.4 MXN | 16 % | 0.16 | 3 de noviembre de 2016 |
| Delegación San Luis Potosí Almacen Delegacional En San Luis Potosi | San Luis Potosi | 1 | 279.5 MXN | 36.5 MXN | 15 % | 0.15 | 1 de octubre de 2009 |
| Delegación Veracruz Norte Almacen Delegacional En Veracruz Norte | Veracruz | 1 | 900.2 MXN | 192.1 MXN | 27.1 % | 0.543 | 6 de abril de 2015 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| QUIRURGICA ORTOPEDICA, S. A. DE C. V. | 5 | 427.9 MXN | 14.8 % | 1.17 | 2009 - 2017 |
| DEWIMED, S. A. | 1 | 187.7 MXN | 26.5 % | 0.53 | 2015 - 2015 |
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=535.814.6917.01")
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=535.814.6917.01')
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=535.814.6917.01')