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Description
Compra Emergente
IMSS product code
060.088.0025.10
Each circle represents one of the 4 purchases of APÓSITOS made by the IMSS between 2010 and 2014.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Michoacán Almacen Delegacional En Michoacan | Michoacán | 2 | 136,648 MXN | 17,137.1 MXN | 15.2 % | 57.9 | 28 de abril de 2014 |
| Delegación Chihuahua | Chihuahua | 1 | 2,679.6 MXN | 1,655.5 MXN | 161.7 % | 5.63 | 10 de diciembre de 2010 |
| Delegación Guanajuato | Guanajuato | 1 | 670.5 MXN | 329.1 MXN | 96.4 % | 1.12 | 9 de febrero de 2010 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| ESCAMILLA ZENTENO AURORA | 1 | 16,849.1 MXN | 14.3 % | 57.3 | 2010 - 2010 |
| JUAN FRANCISCO SOLIS GONZALEZ | 1 | 288 MXN | 16 % | 0.64 | 2014 - 2014 |
| PROMEDICA GARCIA, S. A. DE C. V. | 1 | 329.1 MXN | 96.4 % | 1.12 | 2010 - 2010 |
| VERAME COMERCIALIZADORA MEDICA, S.A. DE C.V. | 1 | 1,655.5 MXN | 161.7 % | 5.63 | 2010 - 2010 |
Date updated in QQW
3 de octubre de 2022
Source(s)
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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=060.088.0025.10")
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=060.088.0025.10')
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=060.088.0025.10')