[PYTHON] Easy analysis sharing with re: dash, an open source data visualization tool Part 2 ~ Graph

• Easy analysis sharing with re: dash, an open source data visualization tool Part 1-Installation
• Easy analysis sharing with re: dash, an open source data visualization tool Part 2 ~ Graph
• Easy analysis sharing with re: dash, an open source data visualization tool Part 3 ~ Google Spreadsheets
• Easy analysis sharing with re: dash, an open source data visualization tool Part 4 ~ pivot table

Last time I introduced how to install re: dash, so next I will introduce the types of visualization Use the previously installed dataset.

Line graph

SQL query

select date(payment_date), sum(amount) from sakila.payment group by date(payment_date)

Graph

bar graph

SQL query

select * from Country

If you do not stack it, it will be a strange value

• Improvements to re: dash
• I want to line up on the left from the place with the most population

Area graph

skip

Pie chart

SQL query

select * from Country

Graph

Scatter plot

SQL query

select * from Country

Graph

cohort

You can see retention etc.

Screenshots are from the Demo page

counter

It seems that it can be used to compare goals and achievements

SQL query

select * from Country

Graph

Summary

I tried to put out various graphs. To be honest, there are a lot of things that aren't enough compared to Tableau, but I think it's worth sharing with the team using a browser for free.

For me, it would be nice to do the initial analysis in Tableau, and if you have something you want to share with your team, put it on re: dash.

Or, I think it's a good idea to always manage the target values of the team here and see them in MTG.