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Description
CROMOTROPO 2R COLORANTE BIO-LOGICO TA.
IMSS product code
080.829.0639.10
Each circle represents one of the 3 purchases of REACTIVOS QUÍMICOS made by the IMSS between 2010 and 2010.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Norte del DF Almacen Delegacional En El D.f. Zona Norte | Ciudad de México | 2 | 17,795.9 MXN | 3,104.7 MXN | 131.8 % | 2.75 | 20 de julio de 2010 |
| Delegación Quintana Roo Almacen Delegacional En Quintana Roo | Quintana Roo | 1 | 556.8 MXN | - MXN | - | - | 16 de febrero de 2010 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| CONTROL TECNICO Y REPRESENTACIONES, S. A. DE C. V. | 1 | - MXN | - | - | 2010 - 2010 |
| DACEGA CORPORATION, SA DE CV | 1 | 2,968.6 MXN | 262.7 % | 2.63 | 2010 - 2010 |
| GENESIS HEALTHCARE ADVISERS, S. A. DE C. V. | 1 | 136.1 MXN | 1 % | 0.12 | 2010 - 2010 |
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=080.829.0639.10")
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=080.829.0639.10')
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=080.829.0639.10')