Update README.md

README.md

@@ -6,4 +6,62 @@ language:
 - en
 size_categories:
 - n<1K
----
+---
+
+
+# Timeseries Data Processing
+
+This repository contains a script for loading and processing timeseries data using the `datasets` library and converting it to a pandas DataFrame for further analysis.
+
+## Dataset
+
+The dataset used in this example is `Weijie1996/load_timeseries`, which contains timeseries data with the following features:
+- `id`
+- `datetime`
+- `target`
+- `category`
+
+## Requirements
+
+- Python 3.6+
+- `datasets` library
+- `pandas` library
+
+You can install the required libraries using pip:
+
+```sh
+pip install datasets pandas
+```
+
+## Usage
+
+The following example demonstrates how to load the dataset and convert it to a pandas DataFrame.
+
+```python
+import datasets
+import pandas as pd
+
+# Load the dataset
+ds = datasets.load_dataset("Weijie1996/load_timeseries", split="train")
+
+# Convert the dataset to a pandas DataFrame
+df = ds.to_pandas()
+
+# Display the first few rows of the DataFrame
+print(df.head())
+
+# Optional: Display basic info about the DataFrame
+print(df.info())
+print(df.describe())
+```
+
+## Output
+``` data
+        id            datetime    target category
+0  NL_1  2013-01-01 00:00:00  0.117475      60m
+1  NL_1  2013-01-01 01:00:00  0.104347      60m
+2  NL_1  2013-01-01 02:00:00  0.103173      60m
+3  NL_1  2013-01-01 03:00:00  0.101686      60m
+4  NL_1  2013-01-01 04:00:00  0.099632      60m
+```
+