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Description
Compra Emergente
IMSS product code
060.168.0077.01
Each circle represents one of the 6 purchases of SONDAS made by the IMSS between 2009 and 2010.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Hidalgo | Hidalgo | 3 | 2,082.2 MXN | 193.6 MXN | 10.3 % | 35.7 | 24 de junio de 2010 |
| Delegación Nuevo León | Nuevo León | 2 | 2,009.7 MXN | - MXN | - | - | 5 de marzo de 2010 |
| Delegación Guerrero | Guerrero | 1 | 6,210 MXN | 0.000000000000909 MXN | 0.0000000000000146 % | 0.0000000000000505 | 4 de agosto de 2009 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| VINIMED, S.A. DE C.V. | 3 | 193.6 MXN | 10.3 % | 35.7 | 2010 - 2010 |
| SOPORTE MEDICO INTEGRAL, S.A. DE C.V. | 2 | - MXN | - | - | 2010 - 2010 |
| VALLE CASTILLO ABEL | 1 | 0.000000000000909 MXN | 0.0000000000000146 % | 0.0000000000000505 | 2009 - 2009 |
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=060.168.0077.01")
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=060.168.0077.01')
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=060.168.0077.01')