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Description
TIRA REACTIVA PARA LA DETERMINACION SEMICUANTITATIVA, DE MICROALBUMINURIA EN ORINA, EN UN RANGO DE 20 A 100 MG/L, EN UN TIEMPO APROXIMADO DE 1 MINUTO. TUBO CON 30 TIRAS REACTIVAS. RTC.
IMSS product code
080.889.2632.01
Each circle represents one of the 1 purchases of TIRAS REACTIVAS made by the IMSS between 2011 and 2011.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Oficinas Centrales Almacen De Programas Especiales Y Red Fria | 1 | 9.4 millones MXN | 1.3 millones MXN | 16 % | 2,080 | 29 de agosto de 2011 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| DIAGNOLIFE, S. A. DE C. V. | 1 | 1.3 millones MXN | 16 % | 2,080 | 2011 - 2011 |
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=080.889.2632.01")
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=080.889.2632.01')
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=080.889.2632.01')