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Description
SOLUCION AMORTIGUADORA DE --FOSFATOS PH 7.4 PAQUETE PARAPREPARAR UN LITRO TA.
IMSS product code
080.783.7968.01
Each circle represents one of the 3 purchases of SOLUCIONES AMORTIGUADORAS made by the IMSS between 2010 and 2010.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| H. de Especialidades Núm 71, Torreón, Coahuila Umae Especialidades Coahuila | Coahuila | 2 | 655.4 MXN | 565.6 MXN | 510.6 % | 18.9 | 24 de mayo de 2010 |
| Delegación Sur del DF Almacen Delegacional En El D.f. Zona Sur | Ciudad de México | 1 | 1,531.2 MXN | - MXN | - | - | 1 de enero de 2010 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| CONTROL TECNICO Y REPRESENTACIONES, S. A. DE C. V. | 2 | 565.6 MXN | 510.6 % | 18.9 | 2010 - 2010 |
| QUIMICA INDUSTRIAL Y DE SALUD, SA DE CV | 1 | - MXN | - | - | 2010 - 2010 |
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=080.783.7968.01")
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=080.783.7968.01')
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=080.783.7968.01')