Read before use
1, check data with precheck (windows version) tools
2, data from excel, copy and paste data into the input frame
3, data from txt, must tab-seperated, copy and paste data into the input frame
4, specieal and non-English characters such as #, <, >, %, (, ), α are not friendly
5, use point as decimal separator, not comma. e.g. 3.14, not 3,14 as pi
Required

Optional
Figure size
figure width:
figure height:

min fontsize:
max word number:
stop words seperated by comma. For example, if you do not want to display cancer and gene, just input cancer,gene


Color and shape
default color, rectangle
default color, user-defined background image region
background image color and region
background image URL:
note:
1, background image color: plot accoding to the backgroud image color
2, background region: plot on "non-white" regions
recomended website:https://www.onlinewebfonts.com/icon/ Search by keyword, and paste the url
e.g.: https://pic.onlinewebfonts.com/svg/img_460260.png, the text will plot within this injector

wordcloud

Introduction
Display a paragraph of words with wordcloud, the more frequency, the bigger. Can help us quickly grasp the meaning. Not vector image
Input data instructions
A paragraph of words.
Paper example
COVID-19 wordcloud: An overview of literature on COVID-19, MERS and SARS: Using text mining and latent Dirichlet allocation Fig 7.
Input The unprecedented outbreak of COVID-19 is one of the most serious global threats to public health in this century. During this crisis, specialists in information science could play key roles to support the efforts of scientists in the health and medical community for combatting COVID-19. In this article, we demonstrate that information specialists can support health and medical community by applying text mining technique with latent Dirichlet allocation procedure to perform an overview of a mass of coronavirus literature. This overview presents the generic research themes of the coronavirus diseases: COVID-19, MERS and SARS, reveals the representative literature per main research theme and displays a network visualisation to explore the overlapping, similarity and difference among these themes. The overview can help the health and medical communities to extract useful information and interrelationships from coronavirus-related studies.
Output

1) How to plot?
1, Put data in excel according to the example format.
2, Copy and paste into input frame.
3, Input pre-checking button to check input
4, After checking pass, select parameters, submit and download

2) How to cite?
4000+ papers in (Google Scholar)
Tang D, Chen M, Huang X, Zhang G, Zeng L, Zhang G, Wu S, Wang Y. SRplot: A free online platform for data visualization and graphing. PLoS One. 2023 Nov 9;18(11):e0294236. doi: 10.1371/journal.pone.0294236. PMID: 37943830.

3) FAQs