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Description
PELICULA RADIOLOGICA, DENTALCONVENCIONAL. DE 3.2 X 4.1 -CM (1.26 X 1.6 PULGADAS).
IMSS product code
070.707.0496.11
Each circle represents one of the 2 purchases of PELÍCULAS made by the IMSS between 2018 and 2019.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Hidalgo Almacen Delegacional En Hidalgo | Hidalgo | 1 | 15,639.1 MXN | 2,157.1 MXN | 16 % | 2.88 | 4 de enero de 2019 |
| Delegación Michoacán Almacen Delegacional En Michoacan | Michoacán | 1 | 33,616.8 MXN | 4,636.8 MXN | 16 % | 6.72 | 5 de junio de 2018 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| ARRIAGA GARNICA BEATRIZ ADRIANA | 1 | 2,157.1 MXN | 16 % | 2.88 | 2019 - 2019 |
| RELIABLE DE MEXICO, S. A. DE C. V. | 1 | 4,636.8 MXN | 16 % | 6.72 | 2018 - 2018 |
Date updated in QQW
3 de octubre de 2022
Source(s)
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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=070.707.0496.11")
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=070.707.0496.11')
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=070.707.0496.11')