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Description
BOLSA PARA FRACCIONAR SANGRE (CUADRUPLE). UNA PRIMARIA PARA RECOLECTAR 450-500 ML CON 63.0-70 ML DE SOLUCION CPDA-1 CON TUBO TRANSPORTADOR PRIMARIO, CON AGUJA 15 O 16 G Y OTRAS TRES BOLSAS SECUNDARIAS DE 300 ML MINIMO UNIDAS A LA PRIMERA
IMSS product code
080.098.0195.04
Each circle represents one of the 8 purchases of BOLSAS made by the IMSS between 2009 and 2016.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Michoacán Almacen Delegacional En Michoacan | Michoacán | 6 | 1.2 millones MXN | 163,684.4 MXN | 125 % | 1,087.2 | 15 de febrero de 2013 |
| Delegación Estado de México Poniente Almacen Delegacional En El Estado De Mexico Poniente | Estado de México | 1 | 40,924.8 MXN | 5,644.8 MXN | 16 % | 38.4 | 20 de enero de 2016 |
| Delegación Tamaulipas Almacen Delegacional En Tamaulipas | Tamaulipas | 1 | 3,089.7 MXN | 978.6 MXN | 46.4 % | 6.95 | 24 de marzo de 2010 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| DISTRIBUCIONES IMEX, S.A. DE C.V. | 3 | 68,635.7 MXN | 14.7 % | 519.6 | 2009 - 2013 |
| CASTELLANOS ORTIZ RAUL | 1 | 3,123.5 MXN | 554.8 % | 22.2 | 2010 - 2010 |
| COMERCIALIZADORA ARVIEN, S.A. DE C.V. | 1 | 5,644.8 MXN | 16 % | 38.4 | 2016 - 2016 |
| CONTROL TECNICO Y REPRESENTACIONES, S. A. DE C. V. | 1 | 978.6 MXN | 46.4 % | 6.95 | 2010 - 2010 |
| MEMORIAL MEDICA, S.A. DE C.V. | 1 | 3,797.1 MXN | 134.9 % | 27 | 2010 - 2010 |
| PHARMACUR, S.A. DE C.V. | 1 | 88,128 MXN | 16 % | 518.4 | 2011 - 2011 |
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=080.098.0195.04")
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=080.098.0195.04')
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=080.098.0195.04')