adviz 0.0.3

advertools visualizations

adviz

Get startd quickly and see exmaples below

Install

pip install adviz

How to use

Count unique values in a list of items

value_counts_plus(list('aaaaaaaaabbbbcccddddddddddeeeeeeeeeeeeffffggghhhiijjjjkkkllllmmmmmmmnnooop'))

<style type="text/css"> #T_f4f7a_row0_col1, #T_f4f7a_row0_col3 { background-color: #cebc63; color: #000000; } #T_f4f7a_row0_col2, #T_f4f7a_row0_col4, #T_f4f7a_row8_col1, #T_f4f7a_row8_col3, #T_f4f7a_row9_col1, #T_f4f7a_row9_col3 { background-color: #00224e; color: #f1f1f1; } #T_f4f7a_row1_col1, #T_f4f7a_row1_col3 { background-color: #9d9576; color: #f1f1f1; } #T_f4f7a_row1_col2, #T_f4f7a_row1_col4 { background-color: #293f6e; color: #f1f1f1; } #T_f4f7a_row2_col1, #T_f4f7a_row2_col3 { background-color: #878478; color: #f1f1f1; } #T_f4f7a_row2_col2, #T_f4f7a_row2_col4 { background-color: #51586d; color: #f1f1f1; } #T_f4f7a_row3_col1, #T_f4f7a_row3_col3 { background-color: #5e636f; color: #f1f1f1; } #T_f4f7a_row3_col2, #T_f4f7a_row3_col4 { background-color: #6b6d72; color: #f1f1f1; } #T_f4f7a_row4_col1, #T_f4f7a_row4_col3, #T_f4f7a_row5_col1, #T_f4f7a_row5_col3, #T_f4f7a_row6_col1, #T_f4f7a_row6_col3, #T_f4f7a_row7_col1, #T_f4f7a_row7_col3 { background-color: #013271; color: #f1f1f1; } #T_f4f7a_row4_col2, #T_f4f7a_row4_col4 { background-color: #787877; color: #f1f1f1; } #T_f4f7a_row5_col2, #T_f4f7a_row5_col4 { background-color: #888578; color: #f1f1f1; } #T_f4f7a_row6_col2, #T_f4f7a_row6_col4 { background-color: #979177; color: #f1f1f1; } #T_f4f7a_row7_col2, #T_f4f7a_row7_col4 { background-color: #a89e73; color: #f1f1f1; } #T_f4f7a_row8_col2, #T_f4f7a_row8_col4 { background-color: #b5a86f; color: #f1f1f1; } #T_f4f7a_row9_col2, #T_f4f7a_row9_col4 { background-color: #c2b369; color: #000000; } #T_f4f7a_row10_col1, #T_f4f7a_row10_col2, #T_f4f7a_row10_col3, #T_f4f7a_row10_col4 { background-color: #fee838; color: #000000; } </style>

Counts of data

	data	count	cum_count	perc	cum_perc
0	e	12	12	16.2%	16.2%
1	d	10	22	13.5%	29.7%
2	a	9	31	12.2%	41.9%
3	m	7	38	9.5%	51.4%
4	b	4	42	5.4%	56.8%
5	f	4	46	5.4%	62.2%
6	j	4	50	5.4%	67.6%
7	l	4	54	5.4%	73.0%
8	c	3	57	4.1%	77.0%
9	g	3	60	4.1%	81.1%
10	Others:	14	74	18.9%	100.0%