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Description
UREA. METODO ENZIMATICO COLORIMETRICO DE PUNTO FINAL CON UREASA (BERTHELOT). SOLUCION DE UREASA FRASCO CON 40 ML. FENOL FRASCO CON 250 ML. HIPOCLORITO DE SODIO FRASCO CON 250 ML. JUEGO. RTC
IMSS product code
080.783.3546.11
Each circle represents one of the 3 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 | 3 | 8,892.6 MXN | 2,588.6 MXN | 37.5 % | 2.25 | 1 de junio de 2012 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| DIAGNOSTICA COMERCIAL, S.A. DE C.V. | 1 | 260.2 MXN | 16 % | 0.32 | 2011 - 2011 |
| SAINZ ROSAS LUIS CARLOS | 1 | 2,328.4 MXN | 96.4 % | 1.93 | 2012 - 2012 |
| SOPORTE MEDICO INTEGRAL, S.A. DE C.V. | 1 | - MXN | - | - | 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=080.783.3546.11")
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=080.783.3546.11')
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=080.783.3546.11')