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Description
TIRA REACTIVA PARA LA IDENTIFICACION DE LEVADURAS Y ORGANISMOS LEVADURIFORMES. TIRA-REACTIVA CON 19 PRUEBAS BIOQUIMICAS. INCUBACION DURANTE72 HORAS A 30 GRADOS C RTC.
IMSS product code
080.889.0222.01
Each circle represents one of the 3 purchases of TIRAS made by the IMSS between 2009 and 2011.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Chiapas Almacen Subdelegacional En Tapachula, Chiapas | Chiapas | 1 | 2,398 MXN | - MXN | - | - | 5 de agosto de 2009 |
| H. de Especialidades, "Gral. Div. Manuel Avila Camacho", Centro Médico Nacional, Puebla Umae Especialidades Puebla | Puebla | 1 | 5,980 MXN | 5,835.3 MXN | 4,032.5 % | 80.7 | 25 de marzo de 2009 |
| Oficinas Centrales Ofnas Centrales -reforma- Coordinacion De Abastecimiento | 1 | 8,269.7 MXN | 1,140.6 MXN | 16 % | 0.32 | 19 de diciembre de 2011 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| BIO LEBEN, S.A. DE C.V. | 1 | 1,140.6 MXN | 16 % | 0.32 | 2011 - 2011 |
| COMERCIALIZADORA MYL PRODUCTOS, S.A. DE C.V. | 1 | - MXN | - | - | 2009 - 2009 |
| PROVEEDORA DIAGNOSTICA, S. A. DE C. V. | 1 | 5,835.3 MXN | 4,032.5 % | 80.7 | 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=080.889.0222.01")
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=080.889.0222.01')
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=080.889.0222.01')