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Description
SEPARADOR MAYO O MAYO-COLLINS O COLLINS, JUEGO DE DOS PIEZAS, LONGITUD DE 145 A 155 MM.
IMSS product code
535.814.6537.01
Each circle represents one of the 12 purchases of SEPARADORES made by the IMSS between 2009 and 2018.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Guanajuato Almacen Delegacional En Guanajuato | Guanajuato | 3 | 2,581 MXN | - MXN | - | - | 20 de agosto de 2018 |
| Delegación Veracruz Sur Almacen Delegacional En Veracruz Sur | Veracruz | 3 | 5,200.9 MXN | 1,796.5 MXN | 52.6 % | 7.02 | 3 de octubre de 2016 |
| Delegación San Luis Potosí Almacen Delegacional En San Luis Potosi | San Luis Potosi | 2 | 2,817 MXN | 387 MXN | 15.5 % | 1.75 | 11 de julio de 2017 |
| Delegación Hidalgo Almacen Delegacional En Hidalgo | Hidalgo | 1 | 612.5 MXN | 179.7 MXN | 41.5 % | 0.83 | 29 de junio de 2016 |
| Delegación Nuevo León Almacen Delegacional En Nuevo Leon | Nuevo León | 1 | 19,435.1 MXN | 4,646.1 MXN | 31.4 % | 8.17 | 27 de junio de 2018 |
| Delegación Oaxaca Almacen Delegacional En Oaxaca | Oaxaca | 1 | 366.6 MXN | - MXN | - | - | 3 de noviembre de 2016 |
| Delegación Quintana Roo Almacen Delegacional En Quintana Roo | Quintana Roo | 1 | 925 MXN | - MXN | - | - | 9 de mayo de 2018 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| QUIRURGICA ORTOPEDICA, S. A. DE C. V. | 6 | 799.5 MXN | 15.1 % | 3.66 | 2009 - 2018 |
| HEMOST, S. A. DE C. V. | 3 | - MXN | - | - | 2015 - 2018 |
| DEWIMED, S. A. | 2 | 1,563.7 MXN | 70 % | 5.94 | 2015 - 2015 |
| MEDIC LEASE, SA DE CV. | 1 | 4,646.1 MXN | 31.4 % | 8.17 | 2018 - 2018 |
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=535.814.6537.01")
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=535.814.6537.01')
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=535.814.6537.01')