It saves space and is easier to download.

How many months has the average person been learning to code, and how long before they begin applying for a job for:

• has dependents
• has full-time job
• has dependents and full-time job
• has neither dependents nor full-time job

The quantiles of ExpectedEarning for India are something like this:

35,500 dollars is Rs 2,369,090, this is an insanely high figure for India.

PS the data for United States Of America seems to pretty legible hence I have raised this issue to get more clarity

Hello,

I am currently working on a data visualisation project and I am basing it around this data set. I found the data dictionary below. I asked this question already on Kaggle by the way but I haven't received any reply yet.

Anyway, something that is not fully clear to me is the meaning of the field IsSoftwareDev.

Does it mean

a) I was software engineer already before attending a bootcamp, used online learning resources and so on?
b) I am new to coding and I have already found a software dev job?

I suspect (and hope) that it's answer b. That would make more sense to me as it's a "new coder survey".

However, there is also a BootcampFullJobAfter variable which indicates whether the individual managed to get a job post boot camp. Unfortunately that only applies to coders who have attended a boot camp.

If anyone could clarify I would be very greatful. I am trying to determine what factors in the data set lead to somebody managing to get employment in software development. I am building visualisations around that etc.

Seasons Greetings by the way :)

Thanks,
John.

Sadly there was no direct question in a survey about the major reasons why people start learning coding, but we still can grab some data on that and make some conclusions.

For example:

1. unemployed most likely can't find any other job
2. employed might want better salary
3. those who prefer to work freelance probably want more freedom

We are working on data transformation to fit the requirements for the analysis.

People who have been working on this so far:

• @erictleung
• @koustuvsinha
• @koustuvsinha made a first separation of the datasets and made a first cleaning of the variables (see https://gitter.im/FreeCodeCamp/DataScience?at=571d25cc7469496137b8c45f)
• @erictleung took the files and started modifications using R (see some discussion at https://gitter.im/FreeCodeCamp/DataScience?at=571f0955d47413c07dcd4755)

We are currently working on @erictleung's fork but reporting through this channel to preserve history.

Of those that have a Bachelors or Above and are working in an IT related field how many of those consider themselves under-employed?

Please can you also include those that do not consider themselves under-employed?

This something that personally interests me, when I started my Foundation Degree I was in a class made up of 38 people, 11 of those, including me, graduated. Then when I moved on to my Bachelors of those 11, 4 moved on to the BSc(Hons) degree now that we have all graduated I find myself the only one of those 4 working in IT while the others are either unemployed or would fall under this under-employed catogory.

Because I am a pessimist, I would like to cross/compare each question to get a neural on demographics to compare them to myself. thank you.

Citizenship [list of western countries] + Currently live in [list of tropical countries] + City population [<1KK]

Is it really harder to go to events? Let's build a visualization that explores the relationship between between population density and events attendance.

i was lead here by this article
https://medium.freecodecamp.com/we-asked-15-000-people-who-they-are-and-how-theyre-learning-to-code-4104e29b2781#.6l0lg4dng

i have completed the front end dev cert and am finding it difficult landing a job in my location (charlotte, nc) so i would also like to see what states / cities are hiring the most code campers and if minorities are finding it more challenging across the country. thanks!

Are we planning to normalize data for questions with open answers?
For example, 5. About how much money do you expect to earn per year at your first developer job (in US Dollars)?

Avg.$ = $53K per year, but some answers have $800K and more.
If set the upper bound to $200K per year, then avg.$ = $48K annually

Also some answers with "K" ($70K), and some are with full numbers ($70000)
And some answers are too small to be annually, but good enough to be monthly. In many countries people never use annual salaries, but monthly. So lots of people was probably confused and wrote their monthly expectations.

I did some normalizing, but in the end the average expectation didn't change a lot.
Original avg.$ = $53K/year VS $52K/year for normalized data.

Normalizing is a good practice, but it didn't change much in this example, so are we planning to do it? If yes, then we need to agree on conditions.

2016FCC_moneyAnnual_v.0.2.xlsx

• the designs that can be built out in HTML
• the fonts and colors
• any static assets

Lmao

I'd like to use this issue to start a discussion on people's thoughts on the survey so the next year's survey can be even better! If you need a refresher on the questions asked, you can see them here.

Some points that can be discussed (but not limited to) are:

• Do you think any of the questions can be asked better or were confusing? How would you improve it?
• Are there questions not in the survey you would have wanted asked?

If you see a question or comment on the survey you really liked, please use the GitHub reactions for us to gauge what questions or comments we should consider in the future.

In North America could even participants per state. This would be very interesting in general. Would allow to know the approximate percentage of people on any given region who are learning to code with FCC.

Are you already working as a software developer?

Data shows 15653 answers 0/1 with no blank cells at all. Did blank answers become 0?

@krisgesling @sunydyz

Detailed needed:
Around the globe (all countries)
All the age
All the fields

This issue is for project control purpose and it will be constantly updated.
Latest website preview is here.
Please, feel free to add some interesting visualizations.
If you want to participate, you can find data here and questionnaire here.
The goal is to create D3.js visualizations for all topics from this article and for some facts from this list.
If you have any questions about data, you can ask them at issue #26.
Leave your feedback and ideas about the next survey at issue #39.

The list of interesting visualizations:

Demographics

• CountryLive [ #10 #30 ], Age [ #24 ] {res @krisgesling}
• Gender & IsEthnicMinority - breakdown by country by @krisgesling [ #2 ] CodePen / GitHub
• CountryCitizen, CityPopulation [ #34 ]
• LanguageAtHome

Socials

• MaritalStatus, HasChildren [ #38 ], HasFinancialDependents [ #20 ], FinanciallySupporting
• DebtAmount [ #19 ], HasHomeMortgage, HasStudentDebt
• HasServedInMilitary [ #16 ]
• IsReceiveDiabilitiesBenefits
• HasHighSpdInternet

Education & Experience

• SchoolDegree [ #7 ], SchoolMajor [ #11 #17 #27 ]
• MonthsProgramming, HoursLearning, IsSoftwareDev by @SamAI-Software [ #23 ] CodePen
• BootcampName [ #15 #19 #28 #36 ], MoneyForLearning [ #25 ]
• ResourceFCC [ #18 #28 ], CodeEventOther [ #6 #23 ] { res @evaristoc}
• Podcasts - breakdown by months programming by @evaristoc [ #14 #43 #44 ] CodePen / GutHub

Current job

• EmploymentStatus [ #32 ], EmploymentField [ #12 ]
• Income [ #42 ], IsUnderEmployed [ #27 ]
• CommuteTime

Future job

• JobPref,JobRoleInterest[ #44 ],ExpectedEarning[ #5 #20 #21 #22 #32 ]
• JobWherePref [ #22 #32 #37 ], JobRelocate
• JobApplyWhen [ #13 #22 ]

• Template for horizontal bar charts by @SamAI-Software CodePen

Are new coders' salary expectations in line with they are likely to get once they get a job?

We ideally want to control for:

• country
• population of city
• months of coding

This issue is for project control purpose and it will be constantly updated.
Latest website preview is here.
Please, feel free to add some interesting facts.
If you want to participate, you can find data here and questionnaire here.
Also you can contribute to the project by creating D3 visualizations here.
If you have any questions about data, you can ask them at issue #26.
Leave your feedback and ideas about the next survey at issue #39.

Other analysis:

• Kaggle
• Toshiaki Takeuchi

The list of interesting facts:

Are you already working as a software developer?

• It's the most answered question (99.5% respondents).
• 11% of respondents who code for less than 1 year already work as software developers.
• 24% of respondents with 5+ years of programming experience aren't working as soft devs.

About how many hours do you spend learning each week?

• Half of respondents spend on average 6 hours per week learning coding for less than a year.
• About 20% of respondents spend more than 20 hours per week learning coding.
• Only 9% of respondents spend at least 40 hours per week learning coding.
• Almost half (47%) of coders with 5+ years of experience who already work as software developers still spend at least 10 hours each week learning programming.

About how many months have you been programming for?

• The most popular answer is 12 months.
• 72% of respondents have less than 2 years of programming experience.
• One in ten respondents has 5 or more years of programming experience.
• Software developers with less than 1 year of experience tend to spend much more time studying programming rather than their experienced colleagues, while for respondents without software developer's job it's the opposite - with more experience they tend to spend more hours per week studying.

About how much money do you expect to earn per year at your first developer job (in US Dollars)?

• The most expected salary is $60K annually while the average expectation is $53,700.
• 9% of respondents are ready to work for $1,000 per month.
• And 9% of respondents expect to earn at least $90,000 per year at their first developer job.

We could use a D3 map visualization to show the proportion of male to female developers in each major country.

I'm interested to find out the population numbers relevant to when the survey was active, ie how many users of Free Code Camp and Code Newbie was the survey sent to? This would be useful for getting a survey response % and in turn work out the P value (margin of error)

I am using this survey data for my Dissertation as part of a Master of Information Systems and Technology degree and the population data would be pretty useful. I can't find it in any of the links so far. (ping @QuincyLarson )

Cheers,

Mat

"how many months have you been coding" - ("how long ago did you finish your coding bootcamp" + the 3 month length of a typical bootcamp)