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Description
TIPO MANILA, TAMAÑO CARTA 163 X 9.2 CM,CON PESTAÑA ENGOMADA, CON MEMBRETE Y EMBLEMA IMSS A UNA TINTA, DE 85 G/M2
Classification
Artículos de consumo. Papeleria
IMSS product code
311.836.0258.02
Each circle represents one of the 7 purchases of SOBRE DE PAPEL made by the IMSS between 2017 and 2018.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación San Luis Potosí Almacen Delegacional En San Luis Potosi | San Luis Potosi | 2 | 2,382.9 MXN | 966.6 MXN | 68.2 % | 7.51 | 20 de julio de 2018 |
| Delegación Guanajuato Almacen Delegacional En Guanajuato | Guanajuato | 1 | 32,500.8 MXN | - MXN | - | - | 11 de julio de 2018 |
| Delegación Norte del DF Almacen Delegacional En El D.f. Zona Norte | Ciudad de México | 1 | 36,192 MXN | 5,289.8 MXN | 17.1 % | 41.1 | 29 de junio de 2018 |
| Delegación Tlaxcala Almacen Delegacional En Tlaxcala | Tlaxcala | 1 | 2,081 MXN | 793.4 MXN | 61.6 % | 6.16 | 31 de mayo de 2018 |
| Delegación Veracruz Norte Almacen Delegacional En Veracruz Norte | Veracruz | 1 | 14,219.3 MXN | 7,266.3 MXN | 104.5 % | 56.4 | 13 de junio de 2018 |
| Oficinas Centrales Ofnas Centrales -reforma- Coordinacion De Abastecimiento | 1 | 302,276.1 MXN | 41,693.3 MXN | 16 % | 439.2 | 25 de agosto de 2017 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| COMERCIALIZADORA GEDA, S.A. DE C.V. | 2 | 42,484.1 MXN | 42.1 % | 445.3 | 2017 - 2018 |
| DAVLU DISTRIBUIDORA S.A. DE C.V. | 2 | 12,556.1 MXN | 60.8 % | 97.5 | 2018 - 2018 |
| GRUPO COMERCIAL DAMAG, S.A. DE C.V. | 2 | 175.7 MXN | 34.1 % | 1.36 | 2018 - 2018 |
| MARIA YOLANDA ERNESTINA ZAMORA APAM | 1 | 793.4 MXN | 61.6 % | 6.16 | 2018 - 2018 |
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=311.836.0258.02")
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=311.836.0258.02')
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=311.836.0258.02')