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Description
Compra Emergente
IMSS product code
060.139.0016.12
Each circle represents one of the 2 purchases of BROCAS made by the IMSS between 2009 and 2015.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Oaxaca | Oaxaca | 1 | 802.5 MXN | 0.00397 MXN | 0.000495 % | 0.00000569 | 26 de febrero de 2009 |
| H. de Traumatología y Ortopedia, Lomas Verdes Umae Traumatologia Y Ortopedia Lomas Verdes | Estado de México | 1 | 1,475.5 MXN | 203.5 MXN | 16 % | 0.16 | 4 de diciembre de 2015 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| MEDICA SYNIMED, S.A. DE C.V. | 1 | 203.5 MXN | 16 % | 0.16 | 2015 - 2015 |
| PROMECA, S.A. DE C.V. | 1 | 0.00397 MXN | 0.000495 % | 0.00000569 | 2009 - 2009 |
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=060.139.0016.12")
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=060.139.0016.12')
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=060.139.0016.12')