resize images on README

README.md

@@ -15,10 +15,11 @@ You can install `metricsifter` package from PyPI via `pip install metricsifter`.
 from metricsifter.sifter import Sifter
 from tests.sample_gen.generator import generate_synthetic_data
 
-## Prepare time series data
+## Create time series data
 normal_data, abonormal_data, _, _, anomalous_nodes = generate_synthetic_data(num_node=20, num_edge=20, num_normal_samples=55, num_abnormal_samples=15, anomaly_type=0)
 data = pd.concat([normal_data, abonormal_data], axis=0, ignore_index=True)
 
+## Remove the variables of time series data
 sifter = Sifter(penalty_adjust=2.0, n_jobs=1)
 sifted_data = sifter.run(data=data)
 print("(#removed metrics) / (#total metrics):", len(set(data.columns) - set(siftered_data.columns)), "/", len(data.columns))
@@ -28,8 +29,8 @@ assert set(sifted_data.columns) - anomalous_nodes == set()
 
 The example of original synthetic data and its sifted data is shown in the following figure.
 
-![original synthetic data](./docs/images/original_time_series.png)
-![sifted synthetic data](./docs/images/sifted_time_series.png)
+<img src="./docs/images/original_time_series.png" width="600" height="480">
+<img src="./docs/images/sifted_time_series.png" width="600" height="360">
 
 
 ## For developers