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Description
PORTA AGUJAS SENNING, QUIJADAS CON ESTRIAS CRUZADAS, RANURA LONGITUDINAL. LONGITUD TOTAL 170 MM.
IMSS product code
537.716.0717.01
Each circle represents one of the 5 purchases of PORTA AGUJA made by the IMSS between 2009 and 2018.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Baja California Sur Almacen Delegacional En Baja California Sur | Baja California Sur | 1 | 2,088 MXN | 288 MXN | 16 % | 0.16 | 31 de enero de 2017 |
| Delegación Durango Almacen Delegacional En Durango | Durango | 1 | 35,772.1 MXN | 4,934.1 MXN | 16 % | 2.72 | 22 de julio de 2013 |
| Delegación Guanajuato Almacen Delegacional En Guanajuato | Guanajuato | 1 | 8,484.2 MXN | 1,170.2 MXN | 16 % | 0.48 | 17 de agosto de 2018 |
| Delegación San Luis Potosí Almacen Delegacional En San Luis Potosi | San Luis Potosi | 1 | 2,380.5 MXN | 310.5 MXN | 15 % | 0.9 | 17 de agosto de 2009 |
| H. de Especialidades No. 14 "Adolfo Ruíz Cortines", Veracruz. Umae Especialidades Veracruz (nte.) | Veracruz | 1 | 1,015 MXN | 140 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. | 2 | 450.5 MXN | 15.5 % | 1.06 | 2009 - 2010 |
| QUIRURGICA ORTOPEDICA, S. A. DE C. V. | 2 | 1,458.2 MXN | 16 % | 0.64 | 2017 - 2018 |
| CORPORATIVO NEOMEDICA, S. A. DE C. V. | 1 | 4,934.1 MXN | 16 % | 2.72 | 2013 - 2013 |
Date updated in QQW
3 de octubre de 2022
Source(s)
Part of the project
Organization responsible for the import
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Choose the system where you want to use the data to see the instructions. For research methodology, see the Manual for investigating open contracting.
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=537.716.0717.01")
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=537.716.0717.01')
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=537.716.0717.01')