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Description
PORTA AGUJAS BARRAQUER, SIN RETEN, QUIJADAS CURVAS, DE TITANIO LONGITUD DE 110 A 115 MM.
IMSS product code
535.716.0364.02
Each circle represents one of the 5 purchases of PORTA AGUJA made by the IMSS between 2011 and 2017.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Aguascalientes Almacen Delegacional En Aguascalientes | Aguascalientes | 1 | 73,412 MXN | 19,610.9 MXN | 36.5 % | 3.65 | 8 de junio de 2015 |
| Delegación Baja California Sur Almacen Delegacional En Baja California Sur | Baja California Sur | 1 | 1,225 MXN | 169 MXN | 16 % | 1.28 | 31 de enero de 2017 |
| Delegación Hidalgo Almacen Delegacional En Hidalgo | Hidalgo | 1 | 20,201.9 MXN | - MXN | - | - | 6 de agosto de 2015 |
| Delegación Puebla Almacen Delegacional En Puebla | Puebla | 1 | 5,960.1 MXN | 822.1 MXN | 16 % | 1.12 | 10 de marzo de 2011 |
| Delegación Sur del DF Almacen Delegacional En El D.f. Zona Sur | Ciudad de México | 1 | 3,822.2 MXN | 527.2 MXN | 16 % | 0.16 | 16 de noviembre de 2012 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| COMERCIALIZADORA SABALLE SA DE CV | 1 | 169 MXN | 16 % | 1.28 | 2017 - 2017 |
| DACEGA CORPORATION, SA DE CV | 1 | 527.2 MXN | 16 % | 0.16 | 2012 - 2012 |
| DEWIMED, S. A. | 1 | - MXN | - | - | 2015 - 2015 |
| H.S. MEDIC, S.A. DE C.V | 1 | 822.1 MXN | 16 % | 1.12 | 2011 - 2011 |
| MEDICINA MINIMA INVASIVA, S.A DE C.V. | 1 | 19,610.9 MXN | 36.5 % | 3.65 | 2015 - 2015 |
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=535.716.0364.02")
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=535.716.0364.02')
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=535.716.0364.02')