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Description
Compra Emergente
IMSS product code
060.168.9904.01
Each circle represents one of the 7 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 Baja California | Baja California | 2 | 171.6 MXN | 75 MXN | 77.8 % | 18 | 10 de diciembre de 2010 |
| Delegación Guerrero | Guerrero | 2 | 869.4 MXN | - MXN | - | - | 15 de octubre de 2009 |
| Delegación Jalisco | Jalisco | 2 | 142.1 MXN | - MXN | - | - | 11 de noviembre de 2010 |
| Delegación Baja California Almacen Delegacional En Baja California Norte | Baja California | 1 | 266.4 MXN | 26.4 MXN | 11 % | 3.3 | 8 de diciembre de 2011 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| ELECTRO PAPER, S.A. DE C.V. | 2 | - MXN | - | - | 2010 - 2010 |
| MANRIQUEZ GUADARRAMA MA. | 2 | - MXN | - | - | 2009 - 2009 |
| S&M DISTRIBUTION, S. DE R.L. DE C.V. | 2 | 75 MXN | 77.8 % | 18 | 2010 - 2010 |
| GONZALEZ FLORES CARLOS ALBERTO | 1 | 26.4 MXN | 11 % | 3.3 | 2011 - 2011 |
Date updated in QQW
3 de octubre de 2022
Source(s)
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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=060.168.9904.01")
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=060.168.9904.01')
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=060.168.9904.01')