<jupyter_start><jupyter_text>Multiple Marks==============This example demonstrates creating a single chart with multiple markersrepresenting the same data.<jupyter_code>import altair as alt
alt.data_transformers.enable('json')
from vega_datasets import data

stocks = data.stocks()

alt.LayerChart(stocks).encode(
    x='date:T',
    y='price:Q',
    color='symbol:N'
).add_layers(
    alt.Chart().mark_point(),
    alt.Chart().mark_line()
)<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.15074309978768577, 'fraction_numerical': 0.0, 'mean_word_length': 6.151515151515151, 'pattern_counts': {'":': 0, '<': 5, '<?xml version=': 0, '>': 5, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'chain_length': '1', 'dir': 'jupyter-structured-clean-dedup', 'id': '356359', 'license': 'BSD-3-Clause', 'n_tokens_mistral': 159, 'n_tokens_neox': 153, 'n_words': 32, 'path': 'notebooks/examples/multiple_marks.ipynb', 'repo_name': 'pydatawrangler/altair_notebooks', 'size': '471'}