Visualising data for @photocontests - week 12/02/18-18/02/18

Total Number of Posts and Participants

#tag	Number of Posts	Number of Participants	Weekly Changes, %
#foodphotography	455	392	-1.1 %
#animalphotography	479	407	-5 %
#landscapephotography	493	424	-34.5 %
#cityscapephotography	230	213	-34.1 %
#architecturalphotography	298	276	`+6.8 %`
#vehiclephotography	230	215	-4.6 %
#macrophotography	375	323	`+10 %`
#colourfulphotography	383	325	`+2.1 %`
#streetphotography	320	284	-14.9 %
#portraitphotography	185	171	-25.4 %
#sportsphotography	104	100	-1.9 %
#smartphonephotography	639	499	-14.8 %
#goldenhourphotography	407	365	-27.5 %
#longexposurephotography	124	114	-51.2 %

Day of the week	Participants in both contests
Monday	127
Tuesday	100
Wednesday	68
Thursday	86
Friday	62
Saturday	40
Sunday	56

The data represents the CET (UTC+1), which is the official time for Hive account@photocontests!

I have extracted the data using api.steemit.com and the following api call:

payload = '{"id":4,"jsonrpc":"2.0","method":"call","params":["database_api","get_discussions_by_created", [{"tag":"' + tag + '","limit":100}]]}'

I am using pandas library. Pandas is an open source and is designed for Python users for data analysis and manipulation.