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Description
Compra Emergente
IMSS product code
060.040.0543.01
Each circle represents one of the 9 purchases of AGUJAS made by the IMSS between 2009 and 2011.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Baja California | Baja California | 3 | 19,042.6 MXN | 2,339 MXN | 37.7 % | 36.1 | 14 de abril de 2010 |
| Delegación Morelos | Morelos | 2 | 14,703 MXN | 1,291 MXN | 9.63 % | 18.9 | 17 de febrero de 2010 |
| Delegación Zacatecas | Zacatecas | 2 | 3,450 MXN | 1,366.6 MXN | 65.6 % | 22.6 | 5 de febrero de 2009 |
| Delegación Jalisco | Jalisco | 1 | 754 MXN | - MXN | - | - | 14 de enero de 2011 |
| Delegación Nuevo León | Nuevo León | 1 | 2,842 MXN | - MXN | - | - | 12 de febrero de 2010 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| DISTRIBUIDORA QUIRURGICO DEL CENTRO, S.V. DE C.V. | 2 | 1,366.6 MXN | 65.6 % | 22.6 | 2009 - 2009 |
| GARCIA VERGARA ALEJANDRINA | 2 | 1,291 MXN | 9.63 % | 18.9 | 2010 - 2010 |
| MONTES GUILLEN JUAN GABRIEL | 1 | - MXN | - | - | 2011 - 2011 |
| RIOS MALDONADO MIGUEL | 1 | 978 MXN | 23.4 % | 16.2 | 2009 - 2009 |
| SALMED DISTRIBUIDORA, S.A. DE C.V. | 1 | 1,361 MXN | 89.6 % | 19.9 | 2010 - 2010 |
| SOPORTE MEDICO INTEGRAL, S.A. DE C.V. | 1 | - MXN | - | - | 2010 - 2010 |
| TIBA MEDICA, S. A. DE C. V. | 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=060.040.0543.01")
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=060.040.0543.01')
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=060.040.0543.01')