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Description
Compra Emergente
IMSS product code
060.841.0767.01
Each circle represents one of the 4 purchases of SUTURAS made by the IMSS between 2009 and 2014.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Sinaloa | Sinaloa | 1 | 222.7 MXN | 0.0000000000000284 MXN | 0.0000000000000128 % | 0.00000000000000178 | 6 de enero de 2010 |
| Delegación Tabasco | Tabasco | 1 | 954.5 MXN | 788 MXN | 473.1 % | 5.44 | 26 de octubre de 2009 |
| Delegación Veracruz Sur Almacen Delegacional En Veracruz Sur | Veracruz | 1 | 9,744 MXN | 1,344 MXN | 16 % | 3.84 | 28 de enero de 2014 |
| H. de Especialidades No. 2, "Luis Donaldo Colosio Murrieta", Centro Médico Nacional del Noroeste, Cd. Obregón Sonora Umae Especialidades Sonora | Sonora | 1 | 1,876.8 MXN | - MXN | - | - | 26 de febrero de 2009 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| COMETA MERCANTIL, S.A. DE C.V. | 1 | 0.0000000000000284 MXN | 0.0000000000000128 % | 0.00000000000000178 | 2010 - 2010 |
| CORPORATIVO INGENIEROS BIOMEDICOS CIBSA, S.A. DE C | 1 | 1,344 MXN | 16 % | 3.84 | 2014 - 2014 |
| COSMO MEDICA, S.A. DE C.V. | 1 | 788 MXN | 473.1 % | 5.44 | 2009 - 2009 |
| PRODUCTOS MEDICOS E HIGIENICOS S.A. DE C.V. | 1 | - MXN | - | - | 2009 - 2009 |
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=060.841.0767.01")
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=060.841.0767.01')
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=060.841.0767.01')