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Description
JERINGAS DE VIDRIO, SIN AGUJA, CON PIVOTE METALIC. REUTILIZABLES. CAPACIDAD 5 ML ESCALA GRADUADA EN ML. DIVISIONES DE 1.0 Y SUBDIVISIONES DE 0.2.
IMSS product code
060.550.0503.11
Each circle represents one of the 1 purchases of JERINGAS made by the IMSS between 2017 and 2017.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Tamaulipas Almacen Delegacional En Tamaulipas | Tamaulipas | 1 | 26,912 MXN | 3,712 MXN | 16 % | 12.8 | 15 de junio de 2017 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| CASLAB DE MEXICO, S. A. DE C. V. | 1 | 3,712 MXN | 16 % | 12.8 | 2017 - 2017 |
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=060.550.0503.11")
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=060.550.0503.11')
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=060.550.0503.11')