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Description
Azul de timol. Indicador. ACS. Polvo
Classification
Material médico. Material de laboratorio
IMSS product code
080.830.9561.00
Presentation
Frasco con 10 g TA
Each circle represents one of the 2 purchases of REACTIVOS QUÍMICOS made by the IMSS between 2009 and 2010.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Estado de México Poniente Almacen Delegacional En El Estado De Mexico Poniente | Estado de México | 2 | 1,310.3 MXN | 175.4 MXN | 15.5 % | 0.31 | 1 de enero de 2010 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| FCD LABS, S.A. DE C.V. | 1 | 92.6 MXN | 15 % | 0.15 | 2009 - 2009 |
| QUIMICA INDUSTRIAL Y DE SALUD, SA DE CV | 1 | 82.8 MXN | 16 % | 0.16 | 2010 - 2010 |
Entity type
Material de laboratorio
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=080.830.9561.00")
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=080.830.9561.00')
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=080.830.9561.00')