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Description
ALAMBRES PARA ORTODONCIA DE 0.80 MM TIRA DE 30 CM.
IMSS product code
060.046.1396.11
Each circle represents one of the 3 purchases of ALAMBRES made by the IMSS between 2012 and 2014.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| H. General, "Dr. Gaudencio González Garza" Centro Médico Nacional La Raza Umae Hospital General C.m.n. La Raza | Ciudad de México | 3 | 4,357.7 MXN | 1,006.9 MXN | 27.7 % | 4.82 | 4 de noviembre de 2014 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| ABASTECEDORA INTEGRAL ESPECIALIZADA, SA DE CV | 1 | 230.4 MXN | 16 % | 0.8 | 2012 - 2012 |
| DOMINGUEZ ARANGO NALLELY IVONNE | 1 | 776.5 MXN | 67 % | 4.02 | 2014 - 2014 |
| ESCAMILLA ZENTENO AURORA | 1 | - MXN | - | - | 2014 - 2014 |
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=060.046.1396.11")
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=060.046.1396.11')
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=060.046.1396.11')