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Description
SEPARADOR COTTLE PARA CARTILAGO NASAL, LONGITUD DE 140 A 150 MM.
IMSS product code
537.814.3050.01
Each circle represents one of the 4 purchases of SEPARADOR made by the IMSS between 2014 and 2018.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Hidalgo Almacen Delegacional En Hidalgo | Hidalgo | 2 | 1,281.1 MXN | 176.7 MXN | 16 % | 0.64 | 28 de julio de 2018 |
| Delegación Veracruz Norte Almacen Delegacional En Veracruz Norte | Veracruz | 1 | 600.9 MXN | 82.9 MXN | 16 % | 0.32 | 27 de marzo de 2014 |
| Delegación Yucatán Almacen Delegacional En Yucatan | Yucatán | 1 | 489.5 MXN | 67.5 MXN | 16 % | 0.16 | 16 de mayo de 2016 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| QUIRURGICA ORTOPEDICA, S. A. DE C. V. | 3 | 278.4 MXN | 16 % | 0.8 | 2014 - 2018 |
| NEODREN, S. DE R. L. DE C. V. | 1 | 48.7 MXN | 16 % | 0.32 | 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=537.814.3050.01")
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=537.814.3050.01')
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=537.814.3050.01')