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Description
PORTA AGUJAS CASTA?EDA, MORDIDA SUAVE, TAMA?O 1. LONGITUD TOTAL 89 MM.
IMSS product code
537.716.0709.02
Each circle represents one of the 3 purchases of PORTA AGUJA 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 | 6,396.2 MXN | 882.2 MXN | 16 % | 0.32 | 17 de agosto de 2018 |
| Delegación Quintana Roo Almacen Delegacional En Quintana Roo | Quintana Roo | 1 | 2,322.3 MXN | 320.3 MXN | 16 % | 0.32 | 24 de abril de 2013 |
| H. de Especialidades No. 14 "Adolfo Ruíz Cortines", Veracruz. Umae Especialidades Veracruz (nte.) | Veracruz | 1 | 1,560.2 MXN | 215.2 MXN | 16 % | 0.16 | 4 de agosto de 2010 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| QUIRURGICA ORTOPEDICA, S. A. DE C. V. | 2 | 1,202.6 MXN | 16 % | 0.64 | 2013 - 2018 |
| HIDRO HOSPITAL, S.A. DE C.V. | 1 | 215.2 MXN | 16 % | 0.16 | 2010 - 2010 |
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=537.716.0709.02")
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=537.716.0709.02')
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=537.716.0709.02')