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Description
Compra Emergente
IMSS product code
060.125.0590.01
Each circle represents one of the 3 purchases of BOLSAS made by the IMSS between 2010 and 2010.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Jalisco | Jalisco | 2 | 7,114.3 MXN | 1,525.1 MXN | 40.6 % | 6.6 | 28 de octubre de 2010 |
| Delegación Guanajuato | Guanajuato | 1 | 394.4 MXN | 126.2 MXN | 47.1 % | 0.546 | 11 de marzo de 2010 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| PROMEDICA GARCIA, S. A. DE C. V. | 1 | 126.2 MXN | 47.1 % | 0.546 | 2010 - 2010 |
| ROCHA MEZA MARIA GUADALUPE | 1 | - MXN | - | - | 2010 - 2010 |
| S&M DISTRIBUTION, S. DE R.L. DE C.V. | 1 | 1,525.1 MXN | 81.2 % | 6.6 | 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=060.125.0590.01")
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=060.125.0590.01')
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=060.125.0590.01')