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Description
Compra Emergente
IMSS product code
060.168.6801.11
Each circle represents one of the 3 purchases of CATÉTERES made by the IMSS between 2009 and 2015.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Coahuila | Coahuila | 1 | 522 MXN | - MXN | - | - | 6 de julio de 2010 |
| Delegación Michoacán Almacen Delegacional En Michoacan | Michoacán | 1 | 3,132 MXN | 432 MXN | 16 % | 0.96 | 7 de diciembre de 2015 |
| Delegación Morelos | Morelos | 1 | 4,025 MXN | 0.000000000000455 MXN | 0.0000000000000113 % | 0.00000000000000013 | 6 de junio de 2009 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| BECERRIL NOLASCO IVAN | 1 | 432 MXN | 16 % | 0.96 | 2015 - 2015 |
| DISTRIBUIDORA MEDICO TECNICA LA UNION, S.A. DE C. | 1 | 0.000000000000455 MXN | 0.0000000000000113 % | 0.00000000000000013 | 2009 - 2009 |
| NEGRETE SAAVEDRA MYRIAM | 1 | - MXN | - | - | 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=060.168.6801.11")
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=060.168.6801.11')
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=060.168.6801.11')