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Description
JERINGAS DE PLASTICO GRADO MEDICO, CON PIVOTE TIPO LUER-LOCK, CAPACIDAD DE 10 ML, ESCALA GRADUADA EN ML CON DIVISIONES DE I.0 ML Y SUBDIVISIONES DE 0.2 ML, ON AGUJA CALIBRE 20 G Y 36 MM DE LONGITUD. ESTERIL Y DESECHABLE.
IMSS product code
060.550.2517.11
Each circle represents one of the 25 purchases of JERINGAS made by the IMSS between 2009 and 2018.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Chiapas Almacen Subdelegacional En Tapachula, Chiapas | Chiapas | 8 | 46,307.1 MXN | 6,469.8 MXN | 37.9 % | 2,518.5 | 4 de abril de 2014 |
| Delegación San Luis Potosí Almacen Delegacional En San Luis Potosi | San Luis Potosi | 7 | 618,349.7 MXN | 84,389.3 MXN | 22.1 % | 48,528.3 | 24 de diciembre de 2018 |
| Delegación Chiapas Almacen Subdelegacional En Tuxtla Gutierrez, Chiapas | Chiapas | 2 | 4,534.4 MXN | 1,576.2 MXN | 44.2 % | 868.4 | 9 de octubre de 2018 |
| Delegación Chihuahua Almacen Delegacional En Chihuahua | Chihuahua | 2 | 48,952.3 MXN | 4,436 MXN | 10.4 % | 2,766.9 | 6 de febrero de 2015 |
| Delegación Chihuahua | Chihuahua | 2 | 6,037.3 MXN | - MXN | - | - | 28 de octubre de 2010 |
| Delegación Oaxaca Almacen Delegacional En Oaxaca | Oaxaca | 2 | 8,854.3 MXN | 5,011.9 MXN | 95.3 % | 2,789.6 | 25 de marzo de 2015 |
| Delegación Hidalgo | Hidalgo | 1 | 12,827.3 MXN | 12,442.2 MXN | 3,231.3 % | 2,249 | 14 de septiembre de 2010 |
| Delegación Tlaxcala Almacen Delegacional En Tlaxcala | Tlaxcala | 1 | 400.1 MXN | 52.2 MXN | 15 % | 53.3 | 3 de marzo de 2009 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| SUPLIMEX, S.A. DE C.V. | 5 | 77,280.8 MXN | 15.4 % | 44,570.7 | 2017 - 2018 |
| COMERCIALIZADORA MYL PRODUCTOS, S.A. DE C.V. | 4 | 22.1 MXN | 12.4 % | 7.45 | 2010 - 2011 |
| BIOMA FARMACEUTICA, S.A. DE C.V. | 3 | 10,873.1 MXN | 93 % | 5,102.9 | 2014 - 2015 |
| DISTRIBUIDORA DE FARMACOS Y FRAGANCIAS, SA DE CV | 2 | 160.6 MXN | 8 % | 80.3 | 2011 - 2012 |
| DISAMED, S.A. DE C.V. | 1 | 7,108.6 MXN | 77.6 % | 3,957.7 | 2018 - 2018 |
| DISTRIBUIDORA DE MATERIAL DE CURACION Y PRODUCTOS | 1 | - MXN | - | - | 2010 - 2010 |
| DISTRIBUIDORA SEVI, S.A. DE C.V. | 1 | - MXN | - | - | 2015 - 2015 |
| FARMACEUTICA BLACKSAL, S.A DE C.V | 1 | 1,415.5 MXN | 72.4 % | 788.1 | 2018 - 2018 |
| INTERCAMBIO GLOBAL LATINOAMERICA, S.A. DE C.V. | 1 | 586.5 MXN | 164.8 % | 197.7 | 2011 - 2011 |
| JTC PROVEEDOR MEDICO, S. A. DE C. V. | 1 | 52.2 MXN | 15 % | 53.3 | 2009 - 2009 |
| MEL DE MEXICO, S.A. DE C.V. | 1 | 4,436 MXN | 20.8 % | 2,766.9 | 2013 - 2013 |
| MERCURIO AX, S.A. DE C.V. | 1 | - MXN | - | - | 2013 - 2013 |
| OROZCO RICO BLANCA ESTELA | 1 | - MXN | - | - | 2010 - 2010 |
| STATION BUSINESS GROUP AND SERVICES, S.A. DE C.V. | 1 | - MXN | - | - | 2017 - 2017 |
| VINIMED, S.A. DE C.V. | 1 | 12,442.2 MXN | 3,231.3 % | 2,249 | 2010 - 2010 |
Date updated in QQW
3 de octubre de 2022
Source(s)
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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=060.550.2517.11")
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=060.550.2517.11')
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=060.550.2517.11')