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Description
PIPETAS DE VIDRIO, TIPO SALI LINEAL, CON MARCA DE AFORO, PARA USARSE CON BOQUILLA Y TUBO DE HULE. PARA 20 MICROLITROS DE SANGRE EN LA DETERMINACION DE HEMOGLOBINA.
IMSS product code
080.709.2754.11
Each circle represents one of the 8 purchases of PIPETAS made by the IMSS between 2010 and 2018.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Jalisco Almacen Delegacional En Jalisco | Jalisco | 2 | 14,358.5 MXN | 1,788.7 MXN | 14.8 % | 41.3 | 13 de febrero de 2013 |
| Delegación Chiapas Almacen Subdelegacional En Tapachula, Chiapas | Chiapas | 1 | 22 MXN | - MXN | - | - | 29 de abril de 2013 |
| Delegación Guanajuato Almacen Delegacional En Guanajuato | Guanajuato | 1 | 736.6 MXN | 77.5 MXN | 11.8 % | 2.35 | 18 de enero de 2011 |
| Delegación Hidalgo Almacen Delegacional En Hidalgo | Hidalgo | 1 | 250.6 MXN | 34.6 MXN | 16 % | 1.92 | 13 de febrero de 2018 |
| Delegación Sonora Almacen Delegacional En Sonora | Sonora | 1 | 104.4 MXN | 38.5 MXN | 58.4 % | 1.17 | 12 de diciembre de 2010 |
| Delegación Sur del DF Almacen Delegacional En El D.f. Zona Sur | Ciudad de México | 1 | 1,614.7 MXN | 518.8 MXN | 47.3 % | 11.4 | 18 de junio de 2013 |
| Oficinas Centrales Ofnas Centrales -reforma- Coordinacion De Abastecimiento | 1 | 486 MXN | - MXN | - | - | 19 de diciembre de 2011 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| CONTROL TECNICO Y REPRESENTACIONES, S. A. DE C. V. | 4 | 1,827.2 MXN | 22 % | 42.4 | 2010 - 2013 |
| METRIX LABORATORIOS, S.A. DE C.V. | 2 | 34.6 MXN | 8 % | 1.92 | 2013 - 2018 |
| DISTRIBUIDORA LAB-HOS, S.A. DE C.V. | 1 | 77.5 MXN | 11.8 % | 2.35 | 2011 - 2011 |
| FCD LABS, S.A. DE C.V. | 1 | 518.8 MXN | 47.3 % | 11.4 | 2013 - 2013 |
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=080.709.2754.11")
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=080.709.2754.11')
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=080.709.2754.11')