diff --git a/idea.txt b/idea.txt
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+++ b/idea.txt
@@ -106,8 +106,30 @@ These datasets are readily accessible and can be used to develop the extensive s
 https://www.mdpi.com/2078-2489/14/1/31
 https://www.kaggle.com/code/pcharambira/predicting-blood-donations
 https://gallery.azure.ai/Experiment/Predict-Blood-Donation-Likelihood-using-Real-Dataset
+https://www.kaggle.com/datasets/whenamancodes/blood-transfusion-dataset
 
 
+https://archive.ics.uci.edu/dataset/176/blood+transfusion+service+center
+
+	Given is the variable name, variable type, the measurement unit and a brief description. The "Blood Transfusion Service Center" is a classification problem. The order of this listing corresponds 	to the order of numerals along the rows of the database. 
+
+R (Recency - months since last donation), 
+F (Frequency - total number of donation), 
+M (Monetary - total blood donated in c.c.), 
+T (Time - months since first donation), and 
+a binary variable representing whether he/she donated blood in March 2007 (1 stand for donating blood; 0 stands for not donating blood). 
+
+
+Table 1 shows the descriptive statistics of the data. We selected 500 data at random as the training set, and the rest 248 as the testing set.
+
+Table 1. Descriptive statistics of the data
+
+Variable	Data Type	Measurement	Description	min	max	mean	std
+Recency 	quantitative	Months	Input	0.03	74.4	9.74	8.07
+Frequency 	quantitative	Times	Input	1	50	5.51	5.84
+Monetary	quantitative	c.c. blood	Input	250	12500	1378.68	1459.83
+Time 	quantitative	Months	Input	2.27	98.3	34.42	24.32
+Whether he/she donated blood in March 2007	binary	1=yes 0=no	Output	0	1	1 (24%) 0 (76%)