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Description
SEPARADOR OBWEYESER, DOBLADURA HACIA ABAJO FENESTRADA EN EL EXTREMO DE LA HOJA. LONGITUD 180 MM.
IMSS product code
537.814.8281.01
Each circle represents one of the 2 purchases of SEPARADOR made by the IMSS between 2010 and 2018.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Guanajuato Almacen Delegacional En Guanajuato | Guanajuato | 1 | 14,134.6 MXN | 1,949.6 MXN | 16 % | 0.8 | 17 de agosto de 2018 |
| H. de Especialidades No. 14 "Adolfo Ruíz Cortines", Veracruz. Umae Especialidades Veracruz (nte.) | Veracruz | 1 | 1,682 MXN | 232 MXN | 16 % | 0.16 | 4 de agosto de 2010 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| HIDRO HOSPITAL, S.A. DE C.V. | 1 | 232 MXN | 16 % | 0.16 | 2010 - 2010 |
| QUIRURGICA ORTOPEDICA, S. A. DE C. V. | 1 | 1,949.6 MXN | 16 % | 0.8 | 2018 - 2018 |
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=537.814.8281.01")
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=537.814.8281.01')
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=537.814.8281.01')