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Description
TIJERA FOMMON, CURVA, PUNTAS ROMAS, LONGITUD DE 125 A 135 MM.
IMSS product code
537.857.0757.01
Each circle represents one of the 9 purchases of TIJERA made by the IMSS between 2009 and 2015.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Aguascalientes Almacen Delegacional En Aguascalientes | Aguascalientes | 3 | 7,129 MXN | 2,775.4 MXN | 90 % | 5.4 | 8 de junio de 2015 |
| Delegación Hidalgo Almacen Delegacional En Hidalgo | Hidalgo | 3 | 2,951.5 MXN | 358.4 MXN | 10.7 % | 1.12 | 6 de agosto de 2015 |
| Delegación Morelos Almacen Delegacional En Morelos | Morelos | 1 | 1,213.5 MXN | 167.4 MXN | 16 % | 0.48 | 16 de julio de 2010 |
| Delegación Quintana Roo Almacen Delegacional En Quintana Roo | Quintana Roo | 1 | 1,484.8 MXN | 204.8 MXN | 16 % | 0.64 | 5 de febrero de 2013 |
| Delegación San Luis Potosí Almacen Delegacional En San Luis Potosi | San Luis Potosi | 1 | 372.6 MXN | - MXN | - | - | 17 de agosto de 2009 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| QUIRURGICA ORTOPEDICA, S. A. DE C. V. | 4 | 563.2 MXN | 12 % | 1.76 | 2009 - 2013 |
| DEWIMED, S. A. | 2 | 1,086 MXN | 32.5 % | 1.3 | 2009 - 2011 |
| HEMOST, S. A. DE C. V. | 1 | 167.4 MXN | 16 % | 0.48 | 2010 - 2010 |
| MEDICINA MINIMA INVASIVA, S.A DE C.V. | 1 | 1,689.3 MXN | 205.1 % | 4.1 | 2015 - 2015 |
| NEODREN, S. DE R. L. DE C. V. | 1 | - MXN | - | - | 2015 - 2015 |
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=537.857.0757.01")
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=537.857.0757.01')
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=537.857.0757.01')