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Description
DE VINIL BLANCO DE 3 ARGOLLAS TIPO "D" TAMAÑO CARTA DE 5 PULGADAS
Classification
Artículos de consumo. Papeleria
IMSS product code
311.182.1546.00
Each circle represents one of the 7 purchases of CARPETA PANORAMICA made by the IMSS between 2012 and 2017.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Morelos Almacen Delegacional En Morelos | Morelos | 5 | 32,706.8 MXN | 4,379.4 MXN | 12.9 % | 34.4 | 25 de abril de 2016 |
| Delegación Michoacán Almacen Delegacional En Michoacan | Michoacán | 1 | 1,577.6 MXN | 217.6 MXN | 16 % | 1.6 | 6 de diciembre de 2017 |
| H. de Gineco Obstetricia, "Lic. Ignacio García Tellez", Centro Médico Nacional de Occidente, Jalisco Umae Gineco - Obstetricia Jalisco | Jalisco | 1 | 8,120 MXN | 1,251.9 MXN | 18.2 % | 9.11 | 22 de febrero de 2012 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| GRUPO SIEN, S.A. DE C.V. | 2 | 44.8 MXN | 7.33 % | 0.326 | 2012 - 2012 |
| COMERCIALIZADORA TONYCOM,S.A DE C.V | 1 | 305.1 MXN | 12.1 % | 3.51 | 2015 - 2015 |
| J.M. REFACCIONES INDUSTRIALES, S.A. DE C.V. | 1 | 376.3 MXN | 21.6 % | 4.33 | 2015 - 2015 |
| ORTIZ ARELLANO ROSA MARGARITA | 1 | 217.6 MXN | 16 % | 1.6 | 2017 - 2017 |
| PEDRO SANCHEZ GARIBAY | 1 | 3,653.1 MXN | 16 % | 26.2 | 2016 - 2016 |
| RUTH ELENA GONZALEZ FLORES | 1 | 1,251.9 MXN | 18.2 % | 9.11 | 2012 - 2012 |
Entity type
Papeleria
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=311.182.1546.00")
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=311.182.1546.00')
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=311.182.1546.00')