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Description
SEPARADOR DESMARRES, VALVA DE 18 MM, LONGITUD DE 130 A 140 MM.
IMSS product code
537.814.7259.01
Each circle represents one of the 2 purchases of SEPARADOR ESPECIAL made by the IMSS between 2009 and 2017.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación San Luis Potosí Almacen Delegacional En San Luis Potosi | San Luis Potosi | 1 | 186.3 MXN | 24.3 MXN | 15 % | 0.15 | 17 de agosto de 2009 |
| Delegación Veracruz Norte Almacen Delegacional En Veracruz Norte | Veracruz | 1 | 696 MXN | 96 MXN | 16 % | 0.16 | 26 de abril de 2017 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| QUIRURGICA ORTOPEDICA, S. A. DE C. V. | 1 | 24.3 MXN | 15 % | 0.15 | 2009 - 2009 |
| VARGAS ALVAREZ ANA LUISA | 1 | 96 MXN | 16 % | 0.16 | 2017 - 2017 |
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=537.814.7259.01")
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=537.814.7259.01')
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=537.814.7259.01')