sweetviz library

Author: pradeepdev-1995

pandas-profiling/README.md

@@ -7,7 +7,7 @@ Pandas profiling is an open source Python module with which we can quickly do an
 pip install -r requirements.txt
 
 ## Run
-python3 eda_pandas-profiling.py
+python3 eda_pandas_profiling.py
 
 ## Output
 

pandas-profiling/eda_pandas-profiling.py renamed to pandas-profiling/eda_pandas_profiling.py

@@ -0,0 +1 @@
+,pradeep,INFBA31703,08.07.2020 09:52,file:///home/pradeep/.config/libreoffice/4;

pandas-profiling/output.html renamed to pandas-profiling/output/output.html

@@ -0,0 +1,27 @@
+# Sweetviz
+
+Sweetviz is an open source Python library that generates beautiful, high-density visualizations to kickstart EDA (Exploratory Data Analysis) with a single line of code. Output is a fully self-contained HTML application.  
+
+The system is built around quickly visualizing target values and comparing datasets. Its goal is to help quick analysis of target characteristics, training vs testing data, and other such data characterization tasks.
+
+## Dependancies
+
+pip install -r requirements.txt
+
+## Run
+
+python3 run eda_sweetviz.py
+
+## Output
+
+Some of the generated outputs are shown below
+
+### Train data
+![Alt text](output/summary.png?raw=true "Train data")
+### EDA on train data
+![Alt text](output/eda.png?raw=true "EDA on train data")
+### Dataset comparison
+![Alt text](output/summary_compare.png?raw=true "Dataset comparison")
+### EDA on comparison result
+![Alt text](output/eda_compare.png?raw=true "EDA on comparison result")
+

sweetviz/.~lock.house_train.csv#

@@ -0,0 +1,10 @@
+import pandas as pd
+import sweetviz
+train = pd.read_csv("house_train.csv")
+test = pd.read_csv("house_test.csv")
+train_report = sweetviz.analyze([train, "Train"],target_feat='SalePrice')
+train_report.show_html('Report.html')
+
+#comparing two data frames
+compare_report = sweetviz.compare([train, "Train"], [test, "Test"], "SalePrice")
+compare_report.show_html('Comparison Report.html')