Update README with analysis reference

README.md

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+---
+dataset_info:
+  features:
+    - name: Row_ID
+      dtype: int64
+    - name: Topic
+      dtype: string
+    - name: Subtopic
+      dtype: string
+    - name: Question
+      dtype: string
+    - name: Answer_1
+      dtype: string
+    - name: Explanation_1
+      dtype: string
+    - name: Answer_2
+      dtype: string
+    - name: Explanation_2
+      dtype: string
+    - name: Answer_3
+      dtype: string
+    - name: Explanation_3
+      dtype: string
+    - name: Difficulty
+      dtype: string
+  splits:
+    - name: train
+      num_examples: 62941756
+---
+# Chemistry Questions Dataset (62M Rows)
+
+## Description
+A dataset of 62,941,756 chemistry questions covering Organic Chemistry (Alkenes, Nomenclature), Inorganic Chemistry (Oxidation States), and Physical Chemistry (Kinetics). Each row includes a question, 2-3 answers with explanations, and difficulty level.
+
+## Columns
+- **Row_ID**: Unique identifier (1 to 62,941,756).
+- **Topic**: Main chemistry category (e.g., Organic Chemistry).
+- **Subtopic**: Specific topic (e.g., Alkenes).
+- **Question**: The chemistry question.
+- **Answer_1**, **Answer_2**, **Answer_3**: Possible answers (Answer_3 often N/A).
+- **Explanation_1**, **Explanation_2**, **Explanation_3**: Explanations for each answer.
+- **Difficulty**: Hard or Expert.
+
+## Analysis
+- Unique value counts are visualized in [unique_value_counts.png](unique_value_counts.png).
+- Sample analysis (based on 100k rows): See image for approximate counts per column.
+
+## Usage
+```python
+from datasets import load_dataset
+dataset = load_dataset("your-username/chemistry-questions-62m")
+```
+
+## Size
+- Uncompressed: ~7.55GB