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Description
Compra Emergente
IMSS product code
060.166.1333.02
Each circle represents one of the 9 purchases of CATÉTERES made by the IMSS between 2009 and 2017.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Durango | Durango | 4 | 9,324.9 MXN | 1,040.4 MXN | 10.2 % | 0.474 | 30 de septiembre de 2016 |
| Delegación Durango Almacen Delegacional En Durango | Durango | 2 | 9,976 MXN | 2,827.3 MXN | 41.2 % | 1.19 | 25 de noviembre de 2010 |
| Delegación Baja California | Baja California | 1 | 60,500 MXN | - MXN | - | - | 23 de marzo de 2009 |
| Delegación Michoacán Almacen Delegacional En Michoacan | Michoacán | 1 | 25,520 MXN | 3,520 MXN | 16 % | 3.2 | 21 de junio de 2017 |
| Delegación Quintana Roo Almacen Delegacional En Quintana Roo | Quintana Roo | 1 | 3,679.1 MXN | - MXN | - | - | 4 de octubre de 2010 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| MARCELA A. MANZANERA CONTRERAS | 3 | 2,827.3 MXN | 27.4 % | 1.19 | 2010 - 2013 |
| CARDIOACTIVA S.C | 1 | 1,040.4 MXN | 40.8 % | 0.474 | 2016 - 2016 |
| COMERCIALIZADORA DE CURACION Y REGIS. MED.,SA DE C | 1 | - MXN | - | - | 2016 - 2016 |
| GUTIERREZ PORTILLO MARIA ESPERANZA | 1 | - MXN | - | - | 2009 - 2009 |
| GUZMAN SANCHEZ ARMANDO | 1 | 0.000000000000227 MXN | 0.0000000000000112 % | 0.00000000000000013 | 2012 - 2012 |
| RUIZ RODRIGUEZ ELENA | 1 | 3,520 MXN | 16 % | 3.2 | 2017 - 2017 |
| VALBREN DE MEXICO, S.A. DE C.V. | 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=060.166.1333.02")
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=060.166.1333.02')
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=060.166.1333.02')