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Description
SISTEMA DE PLACAS. PLACAS RECTAS SEMITUBULAR DE 1 / 3 DE TUBO. NUMERO DE ORIFICIOS: 2.
IMSS product code
060.725.1741.11
Each circle represents one of the 5 purchases of PLACAS made by the IMSS between 2011 and 2014.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Oaxaca Almacen Delegacional En Oaxaca | Oaxaca | 3 | 19,577.5 MXN | 2,700.4 MXN | 19.6 % | 16.5 | 9 de octubre de 2014 |
| Delegación Veracruz Sur Almacen Delegacional En Veracruz Sur | Veracruz | 2 | 789.5 MXN | 108.9 MXN | 16 % | 0.96 | 23 de noviembre de 2011 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| QUIRURGICA ORTOPEDICA, S. A. DE C. V. | 3 | 1,865.7 MXN | 16 % | 15.4 | 2011 - 2012 |
| ORTHOSURGERY SA DE CV | 2 | 943.6 MXN | 21.5 % | 2.08 | 2014 - 2014 |
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=060.725.1741.11")
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=060.725.1741.11')
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=060.725.1741.11')