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Description
SALES AMORTIGUADORAS DE ORTOFOSFATO DISODICO ANHIDRO Y ORTOFOSFATO MONOPOTASICO PH 6.9, CON LA SIGUIENTE FORMULA: NAHPO4 4 G. KH2 PO4 5 G. TUBOS HOMEOPATICOS. TA.
IMSS product code
080.829.4581.03
Each circle represents one of the 1 purchases of SOLUCIONES AMORTIGUADORAS made by the IMSS between 2012 and 2012.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Tabasco Almacen Delegacional En Tabasco | Tabasco | 1 | 3,248 MXN | 448 MXN | 16 % | 0.32 | 6 de diciembre de 2012 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| MANUEL MARTIN VILLEGAS ORTIZ | 1 | 448 MXN | 16 % | 0.32 | 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=080.829.4581.03")
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=080.829.4581.03')
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=080.829.4581.03')