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Description
AGAR PARA AISLAR CLOSTRIDIUMDIFFICILE EN CAJA DE PETRI RTC.
IMSS product code
080.610.1291.01
Each circle represents one of the 6 purchases of MEDIOS DE CULTIVO PLACAS made by the IMSS between 2009 and 2014.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Colima Almacen Delegacional En Colima | Colima | 2 | 250.6 MXN | 34.6 MXN | 16 % | 0.32 | 8 de julio de 2013 |
| H. de Especialidades Núm 71, Torreón, Coahuila Umae Especialidades Coahuila | Coahuila | 2 | 777.8 MXN | 106.4 MXN | 15.5 % | 1.74 | 1 de abril de 2010 |
| Delegación Sinaloa Almacen Delegacional En Sinaloa | Sinaloa | 1 | 1,809.6 MXN | 249.6 MXN | 16 % | 1.92 | 6 de febrero de 2014 |
| H. de Especialidades, "Dr. Bernardo Sepulveda Gutiérrez" Centro Médico Nacional Siglo XXI Umae Especialidades C.m.n. Siglo Xxi | Ciudad de México | 1 | 3,074 MXN | 424 MXN | 16 % | 4 | 30 de noviembre de 2012 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| QUIMICA INDUSTRIAL Y DE SALUD, SA DE CV | 3 | 458.6 MXN | 16 % | 4.32 | 2012 - 2013 |
| CONTROL TECNICO Y REPRESENTACIONES, S. A. DE C. V. | 1 | 91.6 MXN | 16 % | 1.44 | 2010 - 2010 |
| EL CIRUJANO, S.A DE C.V | 1 | 14.9 MXN | 15 % | 0.3 | 2009 - 2009 |
| SUMILAB, S.A. DE C.V. | 1 | 249.6 MXN | 16 % | 1.92 | 2014 - 2014 |
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=080.610.1291.01")
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=080.610.1291.01')
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=080.610.1291.01')