Unpaid overtime in Spain [Project4]

[oargueso]

Story issue checklist

My pitch was: #176

• [x] My pitch has been approved (see PITCHING.md)
• [x] My story issue links to my pitch issue
• [x] I link to my finalized (ish) data source(s)
• [x] I've included a brief summary of my story
• [x] I've included some possible headlines or findings
• [x] I've included some links or images as inspiration (if you have any)
• [x] I have received two comments of peer feedback
• [x] I've included an update of my visualization/story in a comment
• [ ] I have received two comments of peer feedback after posting an update
• [ ] I have received editorial feedback

[oargueso]

Here are a couple of drafts of ideas I've been working on, based on this dataset, which gathers information about the quarterly number of unpaid extra hours that workers do in Spain, and with this graph from El País as a possible inspiration:

These are my ideas:

1) Line graph based on gender (mean unpaid overtime per gender per quarter):

It clearly shows how Spanish economy is based on the services sector. The peak periods of the year correspond to the first quarter (winter sales & usually Easter holidays). Also, you can see how women do less overtime than men (the data are adjusted by number of workers per gender).

2) Line graph based on occupation:

This graph, in turn, shows the group with the largest amount of unpaid overtime, which happens to be "scientific and intellectual technicians and professionals". This group is a really wide category which includes everybody: doctors, teachers, engineers, judges, journalists, priests, artists... Since there is no deeper breakdown, I may leave this huge group out.

I may also check the paid overtime and compare both figures.

[playfairbot]

Hi there, I'm the Playfair Bot!

Thanks for posting your story issue, but would you mind adding editing the original issue to add the first draft of your image? You have my sincere apologies, but it's easier for dumb robots like me when the comments are only used for updates.

Thanks! :pray:

[kbennion]

Interesting project! For the second graph, it might be helpful to make hours a little more recognizable, maybe average to extra hours a week or per day instead of by quarter. The difference between men and women and the seasonal jump too is really interesting. It might be helpful to indicate what time of year it is on the x-axis as well so we can see when the seasonal jump is.

[skkandrach]

I really like this idea! A small multiples might be a good way to visualize the second graph and break it up by each occupation. I agree with Kate on adding some annotation with the season jump. It'll be interesting to see how this turns out!

[mercybenzaquen]

I am excited about this project! I think the second chart is very interesting. I would put the profession on the x axis and get rid of the legend. :) For the first chart I would do something similar to what you did for your women's in Spain government.

[oargueso]

I finally have used this image as inspiration:

With that in mind, I have created these two graphs, which include some annotation to provide context:

The first one visualizes the average quarterly hours of unpaid overtime broken down by gender. Two trends become clear: the peak times of this kind of work are cyclical, and men do more non-rewarded extra hours - one possible reason for this is that women have half part-time jobs more frequently than men.

The second graph splits the quarterly overtime by occupation. I have excluded a category that included almost all the possible jobs and caused therefore a lot noise while not being representative. The resulting chart shows how the unpaid overtime has grown along with the so-called economic recovery - especially in the services sector, key to the Spanish economy -, raising questions about how equal that growth has been.

[mercybenzaquen]

Wohoo!! These are looking awesome. My suggestions:

For the first chart:

-I would make the text bigger and more white (right know the two grays, text and background, are way too similar). The thing I like the most about the image you chose as inspiration is how they use hierarchy with colors, bolding and font size. I would try to use big white numbers like they did to make your info stand out. For example in your first chart you have an introductory paragraph and you say, "men do 30% more unpaid hours...". I would get rid of that paragraph and add a big 30% to the right side in between the two lines explaining what the gap between the lines is. So basically moving the information around so it integrates best with your visualization.

-I would move the legend up, right after the title. I think right know it is kind of hidden.

For the second chart:

• If I understand correctly, in your second chart you point out that people working in the service sectors are the ones doing more unpaid overtime. I would do something to make the lines representing that sector stand out. Maybe try bolding them?

-You have a lot of grey background to your left and not too much to your right, you can try to make them equal.

For both -Make text bigger and more white.

[oargueso]

👍 Thanks a lot for the feedback!