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Description
NIGROSINA (SOLUBLE EN ALCO-HOL) Q. P. POLVO TA.
IMSS product code
080.830.5668.10
Each circle represents one of the 4 purchases of REACTIVOS QUÍMICOS made by the IMSS between 2012 and 2018.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Aguascalientes Almacen Delegacional En Aguascalientes | Aguascalientes | 2 | 13,704.9 MXN | 1,890.3 MXN | 16 % | 11.4 | 22 de febrero de 2018 |
| Delegación Chiapas Almacen Subdelegacional En Tapachula, Chiapas | Chiapas | 2 | 5,926.8 MXN | 646.8 MXN | 13.5 % | 1.96 | 4 de abril de 2014 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| TOY TAVARES WILLIAMS | 2 | 1,890.3 MXN | 16 % | 11.4 | 2017 - 2018 |
| COMERCIALIZADORA MYL PRODUCTOS, S.A. DE C.V. | 1 | 435.6 MXN | 11 % | 1.32 | 2012 - 2012 |
| SOPORTE MEDICO INTEGRAL, S.A. DE C.V. | 1 | 211.2 MXN | 16 % | 0.64 | 2014 - 2014 |
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=080.830.5668.10")
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=080.830.5668.10')
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=080.830.5668.10')