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Description
REACTIVO DE DICLORO DE TETRAMETIL PARA FENILENDIAMINA -(REACTIVO PARA PRUEBA DE OXIDASA) RTC.
IMSS product code
080.783.8131.10
Each circle represents one of the 5 purchases of REACTIVOS QUÍMICOS made by the IMSS between 2009 and 2017.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Oaxaca Almacen Delegacional En Oaxaca | Oaxaca | 2 | 12,403.4 MXN | 1,617.8 MXN | 15 % | 18 | 29 de octubre de 2009 |
| Delegación Chiapas Almacen Subdelegacional En Tapachula, Chiapas | Chiapas | 1 | 295.3 MXN | 29.3 MXN | 11 % | 0.22 | 12 de abril de 2012 |
| Delegación Chihuahua Almacen Delegacional En Chihuahua | Chihuahua | 1 | 4,009 MXN | 553 MXN | 16 % | 1.92 | 17 de febrero de 2014 |
| H. de Especialidades Cardiológicas No. 34, Centro Médico Nacional del Noreste. Umae Cardiologia En Nuevo Leon | Nuevo León | 1 | 2,926.9 MXN | 403.7 MXN | 16 % | 0.16 | 12 de octubre de 2017 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| DISTRIBUIDORA QUIMICA TARRI, S.A. DE C.V. | 2 | 1,617.8 MXN | 15 % | 18 | 2009 - 2009 |
| COMERCIAL BIOMEDICO JR. S. A. DE C. V. | 1 | 403.7 MXN | 16 % | 0.16 | 2017 - 2017 |
| COMERCIALIZADORA MYL PRODUCTOS, S.A. DE C.V. | 1 | 29.3 MXN | 11 % | 0.22 | 2012 - 2012 |
| QUIMICA TECH, S. A. DE C. V. | 1 | 553 MXN | 16 % | 1.92 | 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=080.783.8131.10")
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=080.783.8131.10')
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=080.783.8131.10')