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Description
Compra Emergente
IMSS product code
060.532.0167.10
Each circle represents one of the 3 purchases of EQUIPOS made by the IMSS between 2009 and 2010.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Morelos | Morelos | 1 | 155.9 MXN | - MXN | - | - | 3 de abril de 2009 |
| Delegación Veracruz Norte | Veracruz | 1 | 720.4 MXN | 150.4 MXN | 26.4 % | 27.6 | 15 de febrero de 2010 |
| Delegación Yucatán | Yucatán | 1 | 3,016 MXN | - MXN | - | - | 14 de octubre de 2010 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| HOSPITALES Y QUIROFANOS DEL GOLFO, S.A. DE C.V. | 1 | 150.4 MXN | 26.4 % | 27.6 | 2010 - 2010 |
| JAVIER FERNANDO SABIDO MEDINA | 1 | - MXN | - | - | 2010 - 2010 |
| Proveedor local no identificado (Compra Emergente) | 1 | - MXN | - | - | 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=060.532.0167.10")
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=060.532.0167.10')
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=060.532.0167.10')