Open SiruiZhu opened 6 years ago
For the last map, starting from 0.6 may confuse people in some way. Could you start from 0?
I've styled the charts a bit.
(unsolved) there is two points in my image 3:line graph, don't know what happened there.
I liked the visuals a lot, the color grade is lovely, and overall good story angle.
What I would like to see:
-More context. How many people applied? Does the same trend applied in other countries?
Overall, great work!
How about add grid on second graph? All others have grid.
Hi! I'm a little robot, let's take a peek.
You need some feedback, let me summon @SimoneLuc, @maxarvid, @jlstro for you
Hey, the color is great, I like it. I would make a decision on the ticks, probably against using them at all on the bar chart. Also, not sure if you need the axis titles there, maybe that can go to where the numbers are?
There's one thing that confuses me a bit: The one line chart says that in 2009 around 50% of visas went to Chinese students, in the bar chart it looks more like maybe 1/3?
I changed the legend, to a readable and nice looking(probably)
Reformat my y axis a bit.
I change the size of titles to make them noticeable.
Thanks to Soma and my course-mates' feedback, I've re-checked my dataset, and found there actually something wrong with the year"2008 and 2009", I checked and the graph I updated and now is with right data.
I think to get the data in a format that I want to visualize is the most difficult part.
I'm kind of satisfied with them so far, although the charts and colors are not the best, it's a worth trying one.
Chiming in here a bit late, only to say that I love the purple, and would have suggested combining the line graphs of decrease in Chinese visas and the overall drop could be worthwhile. On the 2nd graph change the title and maybe get rid of the y-axis label (and change the numbers accordingly). My favorite is the stacked bar graph.
Hey, even though you finished the project, two small things: I'd support Max's suggestion to get rid of the titles that are written vertically and I think your font is a bit small for the legend and the ticks... Otherwise, they look great!
Headline: The US is suffering less international students
Published website version: https://siruizhu.github.io/index1.html
Code repository: https://github.com/SiruiZhu/Data-Studio/tree/master/code/01-internationalstudent
Final data set(s): [travel.state.gov] government statistics iie Research
Projects/issues/01
pitch
I read a news that International students in the US dropped over past two years. https://www.jiemian.com/article/2119580.html
Summary
Findings: the student visas US issued to Chines and international has dropped dramatically after 2015.
The factors might be various. The first one, according to some background reading, is because of the student visa policy to China. It changed to period of studnets visa ftom one-year to five-years on 2014 OPEC. Obama announced that. So the student visa application is less than before. Also because the immigration policy during Trump era, so students are more likely to go to Austrilia or Canada. The high tuition fee is also another factor might influence the result.
Details
Possible headlines. The US is suffering less international students especially Chinese students over past few years
Data set(s).
[travel.state.gov] government statistics iie Research
code repository. https://github.com/SiruiZhu/Data-Studio/tree/master/code/01-internationalstudent
Possible problems/fears/questions. Improvements:
Work so far
I downloaded a csv from US Homeland security, it has data from 1997 to 2007 of the US issued all types of data to other countries. It has several sheets in one Excel. So I get filter them one by one from different sheets. I just get the F-1 visa type and "China" as country. Also the total number of F-1 for that year, want to compare the percentage of the US issued F-1 visa numbers to China.
The international student numbers csv I directly downloaded from Quarts, they've done a piece about this topic before. I've also find the date source, which is nice to use.
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