<jupyter_start><jupyter_text>Design of Experiments  Bibliographic NotesBV, Section 7.5https://www.kaggle.com/datasets/ashydv/advertising-dataset?select=advertising.csvhttps://www.kaggle.com/code/malik4real/optimization-of-facebook-ad-campaign/dataPICOS  ProblemAn established firm selling services in a particular urban market has been relying on television, radio and newspaper advertising to promote sales. The company has been recording weekly sales and  expenses to monitor the performance of their advertising strategy. New leadership at the firm has suggested expanding their advertising strategy to include ad-word buys on internet platforms. But without prior experience with internet advertising in that particular market, the current staff would like perform experiments to determine if the proposed change would be a cost-effective means of increasing sales.What experiments should the firm perform?  Data Set<jupyter_code>import pandas as pd

df = pd.read_csv("advertising.csv")
ax = df.plot(y="Sales", x="TV", kind="scatter", color='r', alpha=0.3)
df.plot(y="Sales", x="Radio", kind="scatter", color='g', alpha=0.3, ax=ax)
df.plot(y="Sales", x="Newspaper", kind="scatter", color='b', alpha=0.3, ax=ax)

df<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.09695512820512821, 'fraction_numerical': 0.007211538461538462, 'mean_word_length': 6.304093567251462, 'pattern_counts': {'":': 0, '<': 5, '<?xml version=': 0, '>': 5, 'https://': 2, 'lorem ipsum': 0, 'www.': 2, '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': '513338', 'license': 'MIT', 'n_tokens_mistral': 352, 'n_tokens_neox': 340, 'n_words': 127, 'path': 'notebooks/05/design-of-experiments.ipynb', 'repo_name': 'jckantor/MO-book', 'size': '1248'}