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Description
Compra Emergente
IMSS product code
060.166.0822.02
Each circle represents one of the 4 purchases of SONDAS made by the IMSS between 2009 and 2011.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Tabasco | Tabasco | 2 | 2,070 MXN | 16 MXN | 1.93 % | 0.0448 | 31 de agosto de 2010 |
| Delegación Jalisco Almacen Delegacional En Jalisco | Jalisco | 1 | 3,677.7 MXN | 479.7 MXN | 15 % | 3.9 | 1 de enero de 2009 |
| Oficinas Centrales Ofnas Centrales -reforma- Coordinacion De Abastecimiento | 1 | 2,463.2 MXN | 339.8 MXN | 16 % | 2.08 | 19 de diciembre de 2011 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| INSTRUMENTOS MEDICOS INTERNACIONALES, S.A. DE C.V. | 2 | 819.5 MXN | 15.5 % | 5.98 | 2009 - 2011 |
| LEON HERNANDEZ VERONICA | 2 | 16 MXN | 1.93 % | 0.0448 | 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=060.166.0822.02")
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=060.166.0822.02')
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=060.166.0822.02')