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Description
SEPARADOR OLLIER, DE 4 GARFIOS ROMOS DE 235 MM A 245 MM. DE LONGITUD.
IMSS product code
535.814.6545.01
Each circle represents one of the 4 purchases of SEPARADOR DE USO GENERAL 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 | 1 | 2,561.3 MXN | 774.2 MXN | 43.3 % | 1.73 | 20 de agosto de 2018 |
| Delegación Quintana Roo Almacen Delegacional En Quintana Roo | Quintana Roo | 1 | 1,584.8 MXN | - MXN | - | - | 9 de mayo de 2018 |
| Delegación San Luis Potosí Almacen Delegacional En San Luis Potosi | San Luis Potosi | 1 | 316.3 MXN | 41.3 MXN | 15 % | 0.15 | 1 de octubre de 2009 |
| Delegación Yucatán Almacen Delegacional En Yucatan | Yucatán | 1 | 2,078.7 MXN | 286.7 MXN | 16 % | 0.64 | 16 de mayo de 2016 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| QUIRURGICA ORTOPEDICA, S. A. DE C. V. | 3 | 1,102.2 MXN | 24.8 % | 2.52 | 2009 - 2018 |
| HEMOST, S. A. DE C. V. | 1 | - MXN | - | - | 2018 - 2018 |
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=535.814.6545.01")
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=535.814.6545.01')
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=535.814.6545.01')