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Welcome to datascience’s documentation!

0.17.6

Date:
-

Jul 27, 2023

+

Aug 07, 2023

The datascience package was written for use in Berkeley’s DS 8 course and diff --git a/searchindex.js b/searchindex.js index 6aebc8f3..e6df275a 100644 --- a/searchindex.js +++ b/searchindex.js @@ -1 +1 @@ -Search.setIndex({"docnames": ["_autosummary/datascience.tables.Table.__init__", "_autosummary/datascience.tables.Table.append", "_autosummary/datascience.tables.Table.append_column", "_autosummary/datascience.tables.Table.apply", "_autosummary/datascience.tables.Table.as_html", "_autosummary/datascience.tables.Table.as_text", "_autosummary/datascience.tables.Table.bar", "_autosummary/datascience.tables.Table.barh", "_autosummary/datascience.tables.Table.bin", "_autosummary/datascience.tables.Table.boxplot", "_autosummary/datascience.tables.Table.column", "_autosummary/datascience.tables.Table.column_index", "_autosummary/datascience.tables.Table.columns", "_autosummary/datascience.tables.Table.copy", "_autosummary/datascience.tables.Table.drop", 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datascience.util)": [[78, "datascience.util.sample_proportions"]], "table_apply() (in module datascience.util)": [[78, "datascience.util.table_apply"]]}}) \ No newline at end of file diff --git a/tutorial.html b/tutorial.html index 1032266a..91dbbf48 100644 --- a/tutorial.html +++ b/tutorial.html @@ -449,17 +449,17 @@

Visualizing Data< In [47]: normal_data Out[47]: -data1 | data2 --3.4355 | 4.68928 --0.136723 | 4.45995 -2.67398 | 8.97021 -1.68052 | 9.52266 --0.124433 | 3.39916 -0.490527 | 2.44828 -1.37884 | 6.17221 --1.0764 | 2.48586 -1.38249 | 10.0679 --1.48772 | 6.77345 +data1 | data2 +1.53171 | -1.14279 +-1.53546 | 9.74687 +-1.09762 | 7.28011 +2.75395 | 0.269733 +4.8993 | 6.1939 +-2.36089 | 4.68073 +1.37187 | 0.114291 +2.36617 | 5.06135 +1.77165 | 1.61378 +5.73008 | 3.83531 ... (90 rows omitted) @@ -511,17 +511,17 @@

Exportingto_df():

In [56]: normal_data
 Out[56]: 
-data1     | data2
--3.4355   | 4.68928
--0.136723 | 4.45995
-2.67398   | 8.97021
-1.68052   | 9.52266
--0.124433 | 3.39916
-0.490527  | 2.44828
-1.37884   | 6.17221
--1.0764   | 2.48586
-1.38249   | 10.0679
--1.48772  | 6.77345
+data1    | data2
+1.53171  | -1.14279
+-1.53546 | 9.74687
+-1.09762 | 7.28011
+2.75395  | 0.269733
+4.8993   | 6.1939
+-2.36089 | 4.68073
+1.37187  | 0.114291
+2.36617  | 5.06135
+1.77165  | 1.61378
+5.73008  | 3.83531
 ... (90 rows omitted)
 
 # index = False prevents row numbers from appearing in the resulting CSV
@@ -635,8 +635,8 @@ 

An ExampleIn [73]: bootstrapped_diff_means[:10] Out[73]: -array([-1.75172235, -1.03553179, 1.54114905, -0.13546018, 1.4622271 , - 1.78893612, -0.27564636, -0.50904216, 1.61985161, 0.72007861]) +array([-2.43622652, -0.06147752, 1.25166598, 0.81738958, 0.53121258, + -0.53440285, -0.96360285, -1.34599692, -0.34443073, -1.55383701]) In [74]: num_diffs_greater = (abs(bootstrapped_diff_means) > abs(observed_diff)).sum()