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Description
PANASONIC MODELO KXP1695 COLOR NEGRA (4'000,000 DE CARACTERES APROXIMADAMENTE)
Classification
Material médico. Materiales diversos
IMSS product code
370.206.3896.00
Each circle represents one of the 2 purchases of CINTA PARA IMPRESORA made by the IMSS between 2009 and 2012.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Chihuahua Almacen Delegacional En Chihuahua | Chihuahua | 1 | 807.4 MXN | 111.4 MXN | 16 % | 1.28 | 1 de enero de 2012 |
| Delegación Sonora Almacen Delegacional En Sonora | Sonora | 1 | 2,378.2 MXN | 310.2 MXN | 15 % | 3.3 | 3 de marzo de 2009 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| JLB-PRODUCTS SOFT & HARDWARE S DE RL DE MICROINDUS | 1 | 310.2 MXN | 15 % | 3.3 | 2009 - 2009 |
| PROVEEDORA DE PAPELES Y CONSUMIBLES, S. DE R. L. | 1 | 111.4 MXN | 16 % | 1.28 | 2012 - 2012 |
Entity type
Materiales diversos
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=370.206.3896.00")
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=370.206.3896.00')
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=370.206.3896.00')