diff --git a/README.md b/README.md
index cbca110a..220fe82e 100644
--- a/README.md
+++ b/README.md
@@ -8,7 +8,6 @@ A tool for data scraping and analysis of security certificates from Common Crite
 [![Website](https://img.shields.io/website?label=docs&down_color=red&down_message=offline&style=flat-square&up_color=SpringGreen&up_message=online&url=https%3A%2F%2Fseccerts.org/docs/index.html)](https://seccerts.org/docs/index.html)
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 [![PyPI - Python Version](https://img.shields.io/pypi/pyversions/sec-certs?label=Python%20versions&style=flat-square)](https://pypi.org/project/sec-certs/)
-
 [![GitHub Workflow Status](https://img.shields.io/github/workflow/status/crocs-muni/sec-certs/tests?label=tests&style=flat-square)](https://github.com/crocs-muni/sec-certs/actions/workflows/tests.yml)
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@@ -24,7 +23,7 @@ There are two main steps in exploring the world of security certificates:
 1. Data scraping and data processing all the certificates
 2. Exploring and analysing the processed data
 
-For the first step, we currently provide CLI and our already processed fresh snapshot. For the second step, we provide simple API that can be used directly inside our Jupyter notebook or locally, at your machine.
+For the first step, we currently provide CLI. For the second step, we provide simple API that can be used directly inside our Jupyter notebook or locally, together with a fully processed datasets that can be downloaded.
 
 More elaborate usage is described in [docs/quickstart](https://seccerts.org/docs/quickstart.html). Also, see [example notebooks](https://github.com/crocs-muni/sec-certs/tree/main/notebooks/examples) either at GitHub or at docs. From docs, you can also run our notebooks in Binder.
 
@@ -34,10 +33,16 @@ Run `sec-certs cc all` for Common Criteria processing, `sec-certs fips all` for
 
 ## Data analysis
 
-Without needing to run the whole processing pipeline, you can fetch fresh snapshot of the dataset and explore it yourself.
+Most probably, you don't want to fully process the certification artifacts by yourself. Instead, you can use our results and explore them as a data structure. An example snippet follows. For more, see [example notebooks](https://github.com/crocs-muni/sec-certs/tree/main/notebooks/examples). *Tip*: these can be run with Binder from our [docs](https://seccerts.org/docs/index.html).
 
 ```python
-dset = CCDataset.from_web_latest()
+from sec_certs.dataset import CCDataset
+
+dset = CCDataset.from_web_latest() # now you can inspect the object, certificates are held in dset.certs
+df = dset.to_pandas()  # Or you can transform the object into Pandas dataframe
+dset.to_json(
+    './latest_cc_snapshot.json')  # You may want to store the snapshot as json, so that you don't have to download it again
+dset = CCDataset.from_json('./latest_cc_snapshot.json')  # you can now load your stored dataset again
 
 # Get certificates with some CVE
 vulnerable_certs = [x for x in dset if x.heuristics.related_cves]
@@ -52,22 +57,3 @@ df_2015_and_newer = df.loc[df.year_from > 2014]
 # Plot distribution of years of certification
 df.year_from.value_counts().sort_index().plot.line()
 ```
-
-### Explore data with MyBinder Jupyter notebook
-
-Most probably, you don't want to process fresh snapshot of Common Criteria certificates by yourself. Instead, you can use our results and explore them using [online Jupyter notebook](https://mybinder.org/v2/gh/crocs-muni/sec-certs/dev?filepath=notebooks%2Fcpe_cve.ipynb).
-
-### Explore the latest snapshot locally
-
-In Python, run
-
-```python
-from sec_certs.dataset import CCDataset
-import pandas as pd
-
-dset = CCDataset.from_web_latest()  # now you can inspect the object, certificates are held in dset.certs
-df = dset.to_pandas()  # Or you can transform the object into Pandas dataframe
-dset.to_json(
-    './latest_cc_snapshot.json')  # You may want to store the snapshot as json, so that you don't have to download it again
-dset = CCDataset.from_json('./latest_cc_snapshot.json')  # you can now load your stored dataset again
-```