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Description
Compra Emergente
IMSS product code
060.168.8138.01
Each circle represents one of the 5 purchases of CÁNULAS made by the IMSS between 2009 and 2010.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Jalisco | Jalisco | 3 | 2,749.2 MXN | - MXN | - | - | 25 de noviembre de 2010 |
| Delegación Guerrero | Guerrero | 1 | 1,955 MXN | 0.000000000000227 MXN | 0.0000000000000116 % | 0.000000000000000134 | 1 de junio de 2009 |
| Delegación Nuevo León | Nuevo León | 1 | 1,995.2 MXN | 97.4 MXN | 5.13 % | 0.119 | 14 de enero de 2010 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| ROCHA MEZA MARIA GUADALUPE | 3 | - MXN | - | - | 2010 - 2010 |
| DE LEON TRINIDAD MARIA JANET | 1 | 0.000000000000227 MXN | 0.0000000000000116 % | 0.000000000000000134 | 2009 - 2009 |
| DURFA, S. A. DE C. V. | 1 | 97.4 MXN | 5.13 % | 0.119 | 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=060.168.8138.01")
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=060.168.8138.01')
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=060.168.8138.01')