enh: add descriptions to filter options

Co-authored by: Deepa Krishnaswamy <deepakrishnaswamy2@gmail.com>

filter_data_app.py

@@ -103,7 +103,7 @@ def main():
     #df = load_data()
 
     if page == "Plots":
-        with st.expander("Instructions to navigating the dashboard"):
+        with st.expander("Instructions to navigating the Plots dashboard"):
             with open("instructions.txt", "r") as file:
                 instructions = file.read()
             st.write(instructions)
@@ -380,7 +380,7 @@ def main():
 
     # Define the pages
     if page == "Summary":
-        with st.expander("Instructions to navigating the dashboard"):
+        with st.expander("Instructions to navigating the Summary dashboard"):
             st.write("""
         This page of the dashboard presents a summary of the following four rule-based checks applied to over 9.5 million segmentations 
         from TotalSegmentator(v1) on 125k+ NLST CT scans, displaying the percentage of segmentations passing each check 

instructions.txt

@@ -1,7 +1,7 @@
 
 ### Summary for Dashboard Navigation
 
-This tool helps you explore and analyze radiomics data, apply various filters, and visualize the results.
+This tool helps you to explore and analyze radiomics data extracted from the segmentations. You can apply various heuristics to filter out problematic data, and visualize the results.
 
 #### Navigation and Features:
 
@@ -10,11 +10,19 @@ This tool helps you explore and analyze radiomics data, apply various filters, a
    - **Plots**: Shows detailed visualizations and data filtering options.
 
 **Filters**:
-   - **Radiomics Feature**: Select from various radiomics features (e.g., Volume from Voxel Summation, Mean, Variance).
-   - **Body Part**: Choose the specific body part for analysis.
-   - **Segmentation Completeness, Laterality Check, Volume Check, Connected Volumes**: Filter based on specific qualitative checks.
-   - **Voxel Number**: Filter data based on the range of voxel numbers.
-   - **Radiomics Feature Values**: Set the range for the selected radiomics feature values.
+   - **Radiomics Feature**: Allows selection from a variety of radiomics features such as Volume from Voxel Summation, Mean, Variance, etc. for specific analytical criteria.
+   - **Body Part**: Enables targeted analysis by selecting the desired anatomical region.
+   - **Laterality**: Provides the ability to specify the laterality (left or right) for applicable organ systems.
+   - **Segmentation Completeness**: Offers a dropdown menu to filter segmentations based on their completion status.
+   - **Laterality Check**: Includes a dropdown menu to assess the pass/fail status of laterality checks.
+   - **Minimum of 5 mL**: Facilitates filtering of segmentations with a volume of at least 5 milliliters, classified as either passed or failed.
+   - **Connected Volumes**: Lets users set a threshold for the maximum number of connected components they wish to allow in their analysis.
+   - **Voxel Number**: Provides a slider bar to filter data based on a range of voxel numbers present in the imaging data.
+   - **Radiomics Feature Values**: Allows users to set a range for values of selected radiomics features to refine analysis.
+   - **Select column to sort by**: Enables users to organize the displayed data by sorting any column present within it.
+   - **Sort in descending order**: Gives users the option to sort data in either descending or ascending order.
+   - **Page Number**: Allows users to navigate through the dataset. Only 10 rows are displayed at a time for easy viewing.
+   - **Download the filtered dataset**: Provides the option to download the dataset as a CSV file  after applying the desired filters.
 
 **Filtered Data Display**:
    - Views a paginated table of filtered data. Please use 'sortby' filter in the sidebar to sort the underlying data.
@@ -23,10 +31,7 @@ This tool helps you explore and analyze radiomics data, apply various filters, a
 
 **Visualizations**:
    - **Violin Plots**: Shows the distribution of the standard deviation of the selected radiomics feature before and after filtering.
-   - **UpSet Plots**: Visualize intersections of passed and failed qualitative checks.
-
-**Data Download**:
-   - Download the filtered dataset as a CSV file for further analysis.
+   - **[UpSet Plots](https://ieeexplore.ieee.org/document/6876017)**: Visualize intersections of passed and failed qualitative checks.
 
 #### Using the Dashboard:
 
@@ -36,6 +41,4 @@ This tool helps you explore and analyze radiomics data, apply various filters, a
    - **Note**: Please change to a different bodyPart to reset the filters or when you encounter an error message, while we continue improving this dashboard.
 
 3. **View and analyze the data** in the main panel through tables and plots.
-4. **Download the filtered data** for offline analysis.
-
-
+4. **Download the filtered data** for offline analysis.