Who's getting those jobs? What kinds of positions are being filled and in what sectors? Check out our first set of charts below from last week's aggregate activity on Jobwire to find out the answer to those questions. One interesting tidbit? Software developers are getting hired by social networking companies. If you got a job or your company made a hire in tech or new media this week - send us a note about it at jobwire@readwriteweb.com. Read on for details on how last week looked.

We reported on 48 hires last week and the following is the break-out by job title. We're sure that there are more interesting hires of developers going on and we're doing our best to find them - but they are a little harder to find than some of the executive hires that get announced by companies. None the less, we find these first numbers interesting.

Hires by Sector

What kinds of companies did we report on last week? Here's the break-out by sector.

Note: "Other" includes sectors like retail, search, security and gaming this week. For specifics, see the Jobwire site.

We expect next week's numbers by sector could look very different, but we'll be tracking them closely and we'll let you know. We think that people's new jobs are a lot of fun to find out about and we think the information can prove quite valuable.

RWW Jobwire is sponsored by VisualCV and reports on about 10 new hires in tech and new media every day. We hope that you'll join us there for all the daily news about the hottest new hires.

You might not make graphs very often, but the next time you do - this service is worth a look. There are a lot of graph making tools online, but few are as easy to use and attractive as this one.

Currently, Widgenie users are limited to uploading Excel or CSV files. In the near future the company says it will support graph creation from 3rd party data sources, including dynamic ones like Google Spreadsheets. The company says this functionality is likely to become available in the final months of this year.

Obviously my little sample spreadsheet isn't particularly well suited for a pie chart, but the chart is attractive enough, is it not?

Output

The service offers six different types of widgets: Tabular, Animated Line Chart, Animated Bar Chart, Animated Pie Chart, Animated Area Chart and a Text Cloud Widget. The widgets are very easy to configure and are embedded using Javascript. Further customization options would be good to have, the aesthetics of the graphs are relatively unchangeable.

We had some file uploading problems the first few times we tried the service, but it appears to be working now. The embed code for the primary widget is broken, we used the code for Blogger, but the company says that's a bug that will be fixed later this week. If everything about the service worked like it ought to then it wouldn't be a startup, would it?

Analytics

One of the most charming details here is the provision of viewership analytics. It's pretty simple, but Widgenie shows you how many viewers your widgets have had, from what sites and when. That's a pretty handy and fun feature for a free service.

Context

There is so much data flying around on the web that good tools for visualizing it are important. That's why we said at the start of the year that Data Visualization was going to be a key trend in 2008. We're not sure how well that prediction has played out, but it does help us appreciate the need for good services like Widgenie.

Getting Started

Using the Last.fm API, Andrew Godwin writes and runs LastGraph, a great Last.fm visual history tool. To start, just enter your username to hit enter to get a queue ticket. LastGraph is a beta web app so there are some kinks and issues. A queue happens to be one of them. Fortunately you shouldn't have to wait more than 30 seconds for the page to refresh with a nice selection of visual goodies.

LastGraph grabs the last 20 weeks of data, which is a lot if you happen to use Last.fm on a regular basis like I do. The following stats are available for visual displaying:

• Artist Histories
• Quick Timeline
• Timeline Posters

Artist Histories

Artist histories allows you to see your latest artists sorted by the most played artists at the top. Clicking on a name will display a visual graph showing how many times an artist was played over the past several months. Take a look at my chart for Linkin Park:

If you click on the image to enlarge the graph, you'll notice that that there are some really big gaps in the graph. While Linkin Park is one of my top 5 most played artists, I don't listen to them very often and the gaps in the graph show this. l just recently picked them up again and now they're dropping back off. The great thing about having listening habits displayed in this manner is that you can find out what a user's current listening tastes are. While Last.fm will tell you they're one of my favorites (which they are), LastGraph will tell you that I'm currently exploring other artists at the moment.

Quick Timeline

Quick Timeline is another visual graph that gives you a view of your overall listening habits. Last.FM may record your listening habits, but doesn't provide a way to keep track of how many songs you've listened to within a specified length of time beyond a week. You have no way of comparing how many songs you've listened to in the past month versus this month. LastGraph's 'Quick Timeline' view give a great resolution.

Timeline Posters

LastGraph provides posters of your viewing history. The result is a complicated but useful representation of your listening habits. You can specify a period of time you'd like to have a poster generated for, the color of the poster, and the amount of details you'd like the poster to have ranging from terrible to super. There's another queue for the posters which could take several minutes to render depending on the length of time specified, the detail level, and the number of user requests. The posters are available for download in PDF and SVGZ format. Here's a look my poster for the month of May, rainbow style, with super detail!

Last.FM Should Incorporate LastGraph

All of the data provided by LastGraph is available for exporting in Excel, CVS, and JSON formats. You can even get individual artist data from the 'Artist Histories' page. What I'd like to see next is an expansion from artists to songs. It would be cool to see how often I've played certain songs like Misery Business By Paramore throughout several months or days.

If Last.fm could incorporate all their data in the same manner, you could get an alternative way of seeing your compatibility with other users. The data could be used not only for finding users that match our music tastes overall, but also our current tastes, which could be a more relevant match for users that constantly change their listening habits and music styles.

To get started with Nexus, add the app to your Facebook profile. You can choose to generate the graph in either a light theme or a dark theme, as you wish. Once the graph has been generated, you can hover any node to view your friend connections. What's really interesting, though, is that you can click on any node on the graph and view information about your friends and how they relate to other members of your social graph.

A Nexus Graph

For example, clicking on Richard, I discovered he shared commonalities with Jason Calacanis, Michael Arrington, and Robert Scoble. For the most part, these shared interests were in the form of groups that they both belonged to, but they also could be shared activities, music, movies, etc. (For example, both Richard and I are fans of the movie "The Matrix.")

Discovering common interests

You can then click on any one of those shared commonalities and discover other members in your friend graph who also share this interest. You can even click a link to search all of Facebook to find people outside of your friend graph who are interested in the same thing.

Another thing that Nexus can do is help you discover friends who are most similar to you. By clicking a provided link, the application compares your interests with those of your friends to determine who is most like you.

Not to worry, though - the information gathered is restricted to the permissions you have on Facebook. If you were to share a friend's page with someone who was not that person's friend, all they would be able to see is the graph itself, not the common interests and how they relate to others.

The graph generated by Nexus can be created as either a radial graph or a spring graph and can also be downloaded in one of three different sizes.

Why It's Useful

We can thank Alisa Rowan of the iCrossing blog for this find. She reminds us that Nexus isn't just fun, it can be helpful too, saying:

For those working in a space (social media) - where CPM, click-through rates, and other traditional digital metrics fail to provide a total picture of consumer interaction, involvement, and intimacy - you know that constantly seeking out new data, and new ways of looking at that data, are critical to understanding and quantifying the qualitative.

Agreed, but it's also a great way to waste hours on Facebook in a more productive fashion than ever before.