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Description
ALBUMINA. METODO DE PUNTO FINAL CON REACTIVO VERDE DE BROMOCRESOL. FRASCO PARA MINIMO 50 PRUEBAS. RTC.
IMSS product code
080.783.3033.11
Each circle represents one of the 5 purchases of REACTIVOS Y JUEGOS DE REACTIVOS PARA PRUEBAS ESPECÍFICAS made by the IMSS between 2011 and 2012.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Sinaloa Almacen Delegacional En Sinaloa | Sinaloa | 2 | 2,934.8 MXN | 1,532.1 MXN | 103.4 % | 4.37 | 10 de julio de 2012 |
| Delegación Baja California Sur Almacen Delegacional En Baja California Sur | Baja California Sur | 1 | 394 MXN | - MXN | - | - | 19 de julio de 2011 |
| Delegación Guanajuato Almacen Delegacional En Guanajuato | Guanajuato | 1 | 4,693.4 MXN | 2,737.4 MXN | 139.9 % | 11.2 | 14 de junio de 2011 |
| Oficinas Centrales Ofnas Centrales -reforma- Coordinacion De Abastecimiento | 1 | 6,014.3 MXN | - MXN | - | - | 19 de diciembre de 2011 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| BIO LEBEN, S.A. DE C.V. | 1 | - MXN | - | - | 2011 - 2011 |
| C. C. DIAGNOSTICOS SA DE CV | 1 | - MXN | - | - | 2011 - 2011 |
| DIAGNOSTICA COMERCIAL, S.A. DE C.V. | 1 | 322.1 MXN | 91.9 % | 0.919 | 2012 - 2012 |
| FIGUEROA VARGAS PABLO | 1 | 2,737.4 MXN | 139.9 % | 11.2 | 2011 - 2011 |
| SOPORTE MEDICO INTEGRAL, S.A. DE C.V. | 1 | 1,210 MXN | 115 % | 3.45 | 2012 - 2012 |
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=080.783.3033.11")
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=080.783.3033.11')
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=080.783.3033.11')