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title	author	date	output
R Notebook	adwiz	25.10.2020	html_document

Datascience Project

The R plugin for IntelliJ-based IDEs provides handy capabilities to work with the R Markdown files. To add a new R chunk, position the caret at any line or the code chunk, then click "+".

The code chunk appears:

Type any R code in the chunk, for example:

mycars <- within(mtcars, { cyl <- ordered(cyl) })
mycars

Now, click the Run button on the chunk toolbar to execute the chunk code. The result should be placed under the chunk. Click the Knit and Open Document to built and preview an output.

Name		Name	Last commit message	Last commit date
Latest commit History 31 Commits
README.md		README.md
Seaborn_fly_heatmap.ipynb		Seaborn_fly_heatmap.ipynb
Untitled.ipynb		Untitled.ipynb
Untitled1.ipynb		Untitled1.ipynb
ad_campaigns.xlsx		ad_campaigns.xlsx
billed_orders.txt		billed_orders.txt
cbr.html		cbr.html
crm_stats.tsv		crm_stats.tsv
data.tsv		data.tsv
data.xlsx		data.xlsx
data_3_columns.txt		data_3_columns.txt
data_analytics_01.ipynb		data_analytics_01.ipynb
data_analytics_02.ipynb		data_analytics_02.ipynb
data_analytics_03.ipynb		data_analytics_03.ipynb
data_analytics_04.ipynb		data_analytics_04.ipynb
data_analytics_05.ipynb		data_analytics_05.ipynb
data_analytics_06.ipynb		data_analytics_06.ipynb
data_analytics_07.ipynb		data_analytics_07.ipynb
data_analytics_08.ipynb		data_analytics_08.ipynb
data_analytics_09.ipynb		data_analytics_09.ipynb
data_analytics_10.ipynb		data_analytics_10.ipynb
data_analytics_11.ipynb		data_analytics_11.ipynb
data_analytics_12.ipynb		data_analytics_12.ipynb
data_analytics_13.ipynb		data_analytics_13.ipynb
data_analytics_14.ipynb		data_analytics_14.ipynb
data_analytics_15.ipynb		data_analytics_15.ipynb
data_analytics_16.ipynb		data_analytics_16.ipynb
data_analytics_17_hash_function.ipynb		data_analytics_17_hash_function.ipynb
data_analytics_18.ipynb		data_analytics_18.ipynb
data_analytics_19.ipynb		data_analytics_19.ipynb
data_analytics_20.ipynb		data_analytics_20.ipynb
data_analytics_21.ipynb		data_analytics_21.ipynb
data_analytics_22.ipynb		data_analytics_22.ipynb
data_analytics_23.ipynb		data_analytics_23.ipynb
data_analytics_24_HW.ipynb		data_analytics_24_HW.ipynb
data_analytics_25.ipynb		data_analytics_25.ipynb
data_analytics_25_visualisation.ipynb		data_analytics_25_visualisation.ipynb
data_analytics_26.ipynb		data_analytics_26.ipynb
data_analytics_27_seaborn_heatmap.ipynb		data_analytics_27_seaborn_heatmap.ipynb
data_analytics_28_pyplot.ipynb		data_analytics_28_pyplot.ipynb
data_analytics_29_join.ipynb		data_analytics_29_join.ipynb
data_analytics_30_orders_dict.ipynb		data_analytics_30_orders_dict.ipynb
data_analytics_31_bs4.ipynb		data_analytics_31_bs4.ipynb
data_analytics_32_html_parsing.ipynb		data_analytics_32_html_parsing.ipynb
data_analytics_33_html_2df.ipynb		data_analytics_33_html_2df.ipynb
data_analytics_34_vk.ipynb		data_analytics_34_vk.ipynb
data_analytics_35_vk.ipynb		data_analytics_35_vk.ipynb
data_analytics_36_vk.ipynb		data_analytics_36_vk.ipynb
data_analytics_37_vk_cities_distribution.ipynb		data_analytics_37_vk_cities_distribution.ipynb
data_analytics_38_ym.ipynb		data_analytics_38_ym.ipynb
data_analytics_39_ym.ipynb		data_analytics_39_ym.ipynb
data_analytics_40_ym.ipynb		data_analytics_40_ym.ipynb
data_analytics_41_ga.ipynb		data_analytics_41_ga.ipynb
data_analytics_41_ym.ipynb		data_analytics_41_ym.ipynb
data_analytics_42_ga.ipynb		data_analytics_42_ga.ipynb
data_analytics_43_ga.ipynb		data_analytics_43_ga.ipynb
data_analytics_44_gsheets.ipynb		data_analytics_44_gsheets.ipynb
data_analytics_45_data_error_try_except.ipynb		data_analytics_45_data_error_try_except.ipynb
data_analytics_46_errors_date.ipynb		data_analytics_46_errors_date.ipynb
data_analytics_47_timeout.ipynb		data_analytics_47_timeout.ipynb
data_analytics_48_service_check.ipynb		data_analytics_48_service_check.ipynb
data_analytics_49_scheduler.html		data_analytics_49_scheduler.html
data_analytics_49_scheduler.ipynb		data_analytics_49_scheduler.ipynb
data_analytics_50_python_telegram_bot.ipynb		data_analytics_50_python_telegram_bot.ipynb
data_analytics_51_python_telegram_bot_OOD.ipynb		data_analytics_51_python_telegram_bot_OOD.ipynb
data_analytics_52_python_telegram_bot_import_example.ipynb		data_analytics_52_python_telegram_bot_import_example.ipynb
data_analytics_53_reg_exp.ipynb		data_analytics_53_reg_exp.ipynb
data_analytics_54_NLP.ipynb		data_analytics_54_NLP.ipynb
data_analytics_55_NLP_mystem.ipynb		data_analytics_55_NLP_mystem.ipynb
data_analytics_56_NLP_NLTK.ipynb		data_analytics_56_NLP_NLTK.ipynb
data_analytics_57_NLP_Pymorphy.ipynb		data_analytics_57_NLP_Pymorphy.ipynb
data_analytics_57_RE.ipynb		data_analytics_57_RE.ipynb
data_analytics_58_RE_email.ipynb		data_analytics_58_RE_email.ipynb
data_analytics_59_NLTK.ipynb		data_analytics_59_NLTK.ipynb
data_analytics_HW.ipynb		data_analytics_HW.ipynb
data_no_header.txt		data_no_header.txt
date_function.ipynb		date_function.ipynb
direct_stats.tsv		direct_stats.tsv
enc.py		enc.py
examples.ipynb		examples.ipynb
keywords.csv		keywords.csv
kw_true.csv		kw_true.csv
movies.csv		movies.csv
movies_example.txt		movies_example.txt
new_module3.ipynb		new_module3.ipynb
orders.txt		orders.txt
power.csv		power.csv
power.zip		power.zip
probe.py		probe.py
ratings.csv		ratings.csv
ratings_example.txt		ratings_example.txt
report.ipynb		report.ipynb
scheduler.ipynb		scheduler.ipynb
telegram_notifier.py		telegram_notifier.py
telegram_sender.py		telegram_sender.py
test_after_10_module.ipynb		test_after_10_module.ipynb
titanic.csv		titanic.csv
titanic_age.ipynb		titanic_age.ipynb
transactions.csv		transactions.csv
transactions_data.csv		transactions_data.csv

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