{"id":742,"date":"2019-11-06T10:02:58","date_gmt":"2019-11-06T09:02:58","guid":{"rendered":"https:\/\/eaa-online.org\/arc\/blog\/blog\/how-create-eye-candy-graphs-python\/"},"modified":"2022-10-17T15:23:36","modified_gmt":"2022-10-17T13:23:36","slug":"how-create-eye-candy-graphs-python","status":"publish","type":"post","link":"https:\/\/eaa-online.org\/arc\/blog\/2019\/11\/06\/how-create-eye-candy-graphs-python\/","title":{"rendered":"How to create eye-candy graphs with python"},"content":{"rendered":"

Having attended many presentations over the years, I started noticing that tables are such a drag. Unfortunately, we are used to a presentation format that makes us want to show tables.<\/p>\n

Why?<\/div>\n
<\/div>\n
Quite often presenters only reveal the parts of a table that support their story. So, when was the last time you saw a row with low R-squares? And the coefficients? Right, these often join stars.<\/div>\n
<\/div>\n
Presenters often rely on animated circles and boxes to highlight the important parts of a table. Doesn’t this demonstrate that tabular information is not at all clear and obvious? Right.<\/div>\n
<\/div>\n
So why present tables in the first place? Tables disrupt the flow of the presentation, hardly prompt questions, occupy lots of space, and crowd out time.<\/div>\n
<\/div>\n
Skilled presenters move tables to the end of a presentation, they expect to skip discussing them altogether.<\/div>\n
<\/div>\n
Having also attended many presentations by investments banks, I realized that there are ways to improve your presentation.<\/div>\n
<\/div>\n
Use graphs!<\/div>\n
<\/div>\n
The problem is that statistical packages offer limited graph support. Also Excel has a limited choice of graphs. However, programming languages such as Python and R are almost unrestricted.<\/div>\n
<\/div>\n
The link below offer Python code that converts New Zealand bank data into nice graphs, see above for the end-result. The libraries that I use are matplotlib (https:\/\/matplotlib.org<\/a>) and seaborn (https:\/\/seaborn.pydata.org<\/a>). The former is feature rich, a bit of overkill. Seaborn is great for statistics.<\/div>\n
<\/div>\n

RBNZ_Dashboard – and nice graphs<\/h4>\n
<\/div>\n
See my github link to the Reserve Bank data: https:\/\/github.com\/blucap\/RBNZ_Dashboard<\/a><\/div>\n
<\/div>\n","protected":false},"excerpt":{"rendered":"

Having attended many presentations over the years, I started noticing that tables are such a drag. Unfortunately, we are used to a presentation format that makes us want to show tables. Why? Quite often presenters only reveal the parts of a table that support their story. So, when was the last time you saw a […]<\/p>\n","protected":false},"author":23,"featured_media":743,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"ngg_post_thumbnail":0},"categories":[125],"tags":[4],"acf":[],"yoast_head":"\nHow to create eye-candy graphs with python - ARC<\/title>\n<meta name=\"robots\" content=\"noindex, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"How to create eye-candy graphs with python - ARC\" \/>\n<meta property=\"og:description\" content=\"Having attended many presentations over the years, I started noticing that tables are such a drag. Unfortunately, we are used to a presentation format that makes us want to show tables. Why? Quite often presenters only reveal the parts of a table that support their story. 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