BY JOSEPH RICAFORT
If you haven’t taken the quiz yet, know which DVS persona are you by taking the quiz here.
The DVS community is a diverse community made up of dataviz practicioners from different demographics and experiences. Have you ever wondered what could be the different possible personas that are made up of this community and which of these personas do you identify yourself the closest to?
Let’s look at the 4 different indicators and mix & match them to create different personas of what the DVS population are made out of.
Cartoon Vectors by Vecteezy
Disclaimer: The naming or alias for every persona (e.g. The Analyst Intern, The Journalist, etc..) were inferred from the data as close as possible but might not truly represent and characterize the majority of those subgroups. It is also a means to easily identify the subgroups with this naming convention.
Among 2,165 survey respondents, 1,288 have provided all of the 4 major indicators and have answered at least one of the 4 additional indicators.
4 major indicators:
- Years of experience (Junior vs Senior)
- Role (Analytical vs Creative)
- Income group (Humbly-paid vs Well-paid)
- Commitment (Independent vs Associate)
4 additional indicators:
- Tools for DVS - identifies the character for each persona in terms of tool preference
- Organizations / Industry - distribution of the personas to which they are more common
- Frustrations - do each persona have varying frustrations?
- Issues - socio-economic or dvs-specific issues for each persona
If you want to read first the full methodology on how the classifications were done or how the numbers were crunched, see the Methodology and the 4 Major Indicators Comparison.
The 16 DVS Personas
Mix and matching these 4 major indicators, 16 unique personas were created. This is somewhat inspired from Myers-Briggs Type Indicator (MBTI) but with a DVS twist!
Percentage distribution of the 16 DVS personas
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)
25% of the DVS community is a Junior-Analytical-Humblypaid-Associate, the most common among all personas. It is then followed by a Senior-Analytical-Humblypaid-Associate.
Meanwhile a Junior-Creative-Wellpaid-Independent is the rarest persona which is just 0.5% of the DVS members. Imagine a dataviz practitioner who has less than 6 years experience with more than USD80,000 annual salary who is either a freelance or a part-time student. They seem to be like prodigy, free spirited, fast-learning entrepreneurs doing things their way and being paid really well.
The Preference and Character of Each Persona (4 Additional indicators)
4 variables from the survey data were chosen to see what distinct character each of the persona inhibit. These are:
The 4 additional indicators:
- Tools for DVS - identifies the character for each persona (ToolsForDV_)
- Organizations / Industry - distribution of the personas to which they are more endemic (OrgSector_)
- Frustrations - do each persona have varying frustrations? (TopFrustrationsDV_)
- Issues - socio-economic or dvs-specific issues for each persona (TopIssuesDV_)
How common each persona per industry?
Different personas were dispersed in different industries asymmetrically. This visual tool could be beneficial if you are eyeing for a specific persona you want to be in. A rare persona in that industry could either indicate whether it has a difficult prerequisites which makes these persona quite rare.
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)
Observations
- Junior-Analytical-Humblypaid-Associate seems to visually occupy a lot of the bars followed by Senior-Analytical-Wellpaid-Associate. These two personas earlier were ranked as the first and second most common personas.
- Almost 50% of the Senior-Analytical-Humblypaid-Associates identified themselves coming from the Academe.
- If you want to be a creative but want to earn a lot of money, you should be in the IT Industry, said by a Creative-Wellpaid.
- Most of those in the Journalism industry are either Junior-Creative-Humblypaid
What frustrates each persona the most?
Top 7 frustrations were picked among the 13 in the survey. These were encoded in the charts as:
- Time: Lack of time
- Design: Lack of design expertise
- Data Access: Accessing data
- Data Literacy: Low data literacy
- Respect DV: Not enough respect for dataviz
- Tech tools limit: Technical limitations of the tools
- Non-viz activity: Too much effort spent on non-viz activity
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)
Observations
- Junior-analyticals looks unanimous in their frustrations, the lask of design expertise. For junior-analytical-wellpaid-hobbyist, it is their second frustration to lack of time.
- Junior-creatives’ top frustration seems to be the lack of time. It is third for humblypaid-associates and wellpaid-hobbyists where their top frustrations is in the lack of technical skills.
- Junior-creative-wellpaid-independents, which is the rarest tribe, mention that a lack of tech skillw (1st) and lacking mentorship (2nd) are their main frustrations.
- Senior analyticals are unaninous with the lack of time as their top frustrations along with creatives humblypaid-independents and wellpaid-associates
- Senior-creative-humblypaid-associates notes that the lack of recpect and tech limitations are their top frustrations.
What issues each persona feel should be addressed?
![](data:image/png;base64,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)
Observations
- Unanimously lack of literacy for majority regardless of persona. Second to it is the lack of awareness of impact of data visualization.
- Despite the slight differences in frustrations for every persona, all the personas surprisingly seem to unanimously agree on the same issues.
Summary
- Well-paid analyticals seem be more prominent than well-paid creatives. Does this means analyticals are paid better than creatives?
- Seniority is a factor for a high paying job but it is not impossible to be a junior but earn very-well as a data-viz practitioner.
- There is a notable transition of tools usage popularity between generations. For example, between Excel to Tableau if we try to compare Juniors and Seniors.
- This visuals could be a helpful tool to give insights on your current state (salary, role, etc.) in the industry and on the state of which persona you ideally want to be in.
Methodology and the 4 Major Indicators Comparison
Let’s look at our first major indicator, an indicator identifying your veteranship in the community!
Years of experience (Junior vs Senior)
Do you lean more towards being a newbie or do you lean more towards being an experienced one? We look at the years of experience as the seniority indicator of how long you’ve been practicing dataviz work.
This indicator uses the YearsDVExperience variable. YearsWorkExperience is secondary variable when no YearsDVExperience was provided.
The median years of experience is 6 years. Let’s define you as a Junior if your DV experience is less than 6 years, while being a Senior if it is more than 6 years.
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)
Role (Analytical vs Creative)
Around 58% of the DVS members lean towards analytical roles while only 15% lean towards the creative roles. A huge chunk of 27% chose to not indicate their roles.
This indicator uses RoleAsEmployee as the primary variable. When this variable is not provided by the respondent, the RoleAsFreelance is being accessed.
While roles usually require to be both creative or analytical in function and purpose, we attempt to classify roles that are more likely leaning towards either of them.
Analytical
Roles that lean more toward analytical or science related fields:
- Analyst
- Developer
- Scientist
- Engineer
- Leadership (Manager, Director, VP, etc.)
Creative
Roles that lean more towards creative or humanities related fields:
- Designer
- Journalist
- Teacher
- Cartographer
Note: Leadership and Cartographer roles tend to be ambiguously either creative or analytical, also as much as other roles. For the sake of removing the ambiguity, we tried to judge based on the reality and nature of the profession.
Stories that helped on how they were classified:
58% are Analyticals while 15% are Creatives
![](data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAABIkAAACuCAMAAACFiq33AAAA/FBMVEUAAAAAAEgAAHQASJwAdHQAdL8AujgzMzNIAABIAEhIAHRISEhISHRISJxIdL9InJxInL9InN9NTU1NTXJNTZJNcrBNksxhnP9yTU1yTXJyTZJyck1ycrBykpJysMxysOV0AAB0AEh0AHR0SAB0nJx0v790v/+STU2STXKSTZKSzP+cSACcSEicSHScnEicnHScv5yc37+c39+c3/+wck2wcnKw5f+/dAC/dEi/nEi/35y//7+//9+////Mkk3M///fnEjf35zf/7/f/9/f///lsHLlzMzl///r6+vy8vL4dm3/v3T/zJL/35z/5bD//7///8z//9///+X////g6I8EAAAACXBIWXMAABAlAAAQJQEuD214AAAOjklEQVR4nO2dj3/bRhmHlYQwt6OA3W1s48fSUtzRjK3gEQ9GWgMJYziOk+n//1+493SyZdfK4kq+r3x9ns8WRacfryXd+/R0UnxZDgCgJlN/AAAATAQAHQATAYAeTAQAejARAOjBRACgpwUT/XcLtlq5KVGDEY1oXYu2TbDmHmgIJiIa0RKNhonaOTeNSbiOEY1o7QZr7oGGYCKiES3RaJionXPTmITrGNGI1m6w5h5oCCYiGtESjYaJ2jk3jUm4jhGNaO0Ga+6BhmAiohEt0WiYqJ1z05iE6xjRiNZusOYeaAgmIhrREo2Gido5N41JuI4RjWjtBmvugYZgIqIRLdFomKidc9OYhOsY0YjWbrDmHmgIJiIa0RKN1oaJbk8zT79SNj8Z5iuzxSrZ4XkDjWAiohEt0WjtmOjYJtOsIp81ExmzB6OGGolsol+9S/y0A/wP3l1aNFGYFGCiPUNtIUOdDCCkRRPl46MLaxn52zRvosnKLVthorGtOzmePXjZCwsnazd29WCi3aG2kKFOBhDSdpvIbtHmJ8feRJODUT7rLSRTmGh6eO7WHM56bkV/P7e21l1got2htpChTgYQ0qKJJs4rt6emlOnByJloftIP5ikoTGSKcr8V7pkcXayvdReYaHeoLWSokwGEtPnszDVwZj3rHnI/nXCcj/KyxAj9RO72zAmoKHarrK91F5hod6gtZKiTAYS01iaa9Y4XRvENouE0WwjKE0zkmj/jfnmr5ky0ttZdYKLdobaQoU4GENLe3dnUup3fbBMtCSaaP/nzk1HFRGtr3QUm2h1qCxnqZAAhLfYTjZ1TVvuJVts5wUS3p+8fXYQ+6rH1E92nNVSAiXaH2kKGOhlASIsmmp84w6w/O/N+KijfJ5oUjSdXvnh2VlnrLjDR7lBbyFAnAwhp830ir5j194mWD8VKE/nprPesFzqHJvf+IxBMtDvUFjLUyQBCBH8BO3t0cd+HZWtgot2htpChTgYQIjDRxHqIMFHHUFvIUCcDCIluolnP/iYEE3UNtYUMdTKAEL6fCBN51BYy1MkAQjARJvKoLWSokwGEYCJM5FFbyFAnAwjBRJjIo7aQoU4GEIKJMJFHbSFDnQwgpA0TfV9Lc3OsgIl2h9pChjoZQEgrJqrZNybaI9QWMqLWfOgWmAgTedQWMqLWfOgWmAgTedQWMqLWfOgWmAgTedQWMqLWfOgWmAgTedQWMqLWfOgWmAgTedQWMqLWfOgWmAgTedQWMqLWfOgWmAgTedQWMqLWfOgWQhPNHp7Xzm0qwES7RG0hI2rNh27RCRNtkA4miozaQkbUmg/dAhNhIo/aQkbUmg/dIpKJ7Hv2j51cvszKb923ufOxfRX/5Ccn2cHIxDMrvmR/sRgTxUNtISNqzYduEcdENtLH1Nmm17chYMu5h+dmm9vTobfQQ18eJsViTBQPtYWMqDUfukW8u7P5k5GNLxQEY3MPz52F8iAk9//Uf8N1vlyMieKhtpARteZDt4hkIrvvCndg4S6smJsc21AfoXwSTLRcjImiobaQEbXmQ7eIYyJrDIVmjjWBlnPzp//4YpSvtokqizFRNNQWMqLWfOgWcUw0PTy3AadL4yzn8vGzRxd5uGvz/UQPRtXFmCgWagsZUWs+dIs4Jro9zbJfLnqmK3P51B6WuYLh8tlZdTEmioXaQkbUmg/dQv3XHhtfJaoDE+0OtYWMqDUfuoXaRJPjLTSCiXaH2kJG1JoP3UJrolnvcIsm0X1MdP3p6zuXY6Ia1BYyotZ86BbqNtFWYKLdobaQEbXmQ7fARJjIo7aQEbXmQ7dIZ7yz648HgxfeRFeDweCj3CaPzxaTACaqQW0hQ50MICQZE9089xpy/9lvV4/Pbj4/y68+/C5MbJX3HNuEU8shKmoLGepkACGNzBD4vqZiRTVRsE24O3P+MSHlhaEq0CaqIapyalAnAwhppU1UU7GimuhyaSK7T3M3ZDfP7XatnAQwUQ1RlVODOhlASDImWraJrj85szaRL/zgdWViYKIaoiqnBnUygJBkTOT7iT45cyYy77x6fGZCcr+GSbkaJqohqnJqUCcDCEnGRMtnZz98PRj87usXPDvbiqjKqUGdDCAkHRPdD0xUQ1Tl1KBOBhCCiTCRJ6pyalAnAwjBRJjIE1U5NaiTAYR0wET3/2IQTLQ7oiqnBnUygBCxibb6eiJMtEOiKqcGdTKAEEyEiTxRlVODOhlASCQTFd8LO/vZ7220s+zwPAyvOC/GXPx7MexZWIKJFERVTg3qZAAhcUwUxlSc9exbqof55OiiMrzi7OE/bNizR/8ulmAiCVGVU4M6GUBIHBNVxg/yYws9GXk/LcYd8sOeVZZgouhEVU4N6mQAIXFMFJo65fgd7pZsdSxG1yD6YlQuwUQKoiqnBnUygJC4baIwBmy+PhZj/s3LRxc/3nuNiXZHVOXUoE4GEBKxn+iB9471E1VGXwz3a9OsXy7BRBKiKqcGdTKAkLjPzswz/nlZObxiOebi/OliCSaSEFU5NaiTAYR04B3r+4OJdkdU5dSgTgYQgokwkSeqcmpQJwMIwUSYyBNVOTWokwGEYCJM5ImqnBrUyQBCMBEm8kRVTg3qZAAhyYx3dk8wUQ1qCxnqZAAhmAgTedQWMtTJAEIwESbyqC1kqJMBhLRioprKjYn2CLWFDHUygBBMhIk8agsZ6mQAIZgIE3nUFjLUyQBCMBEm8qgtZKiTAYRgIkzkUVvIUCcDCMFEmMijtpChTgYQgokwkUdtIUOdDCAEE2Eij9pChjoZQIjCRPbljG8FJtodagsZ6mQAIZgIE3nUFjLUyQBCMBEm8qgtZKiTAYTEMVE5mNDDL7Pw1fnTrB/m7DuuD0b+6/R7rvzon6EYE0VFbSFDnQwgJK6Jev18enjurDP1I575OT8a7KENvjh9v28DMBbFmCguagsZ6mQAIXFNVIwpdHv6zP1Sjggbhn6dPbr45uXPnaTKgYcwUVTUFjLUyQBCIt+dnRcmOvrb8aLQRmV0Apo/+cufvn367dPzyvCMmCgeagsZ6mQAIRoTOe+MqoU2O37mWkVfHeeYSILaQoY6GUBIHBNZX9DksGIiG586zIV+oqKXyP2PiSSoLWSokwGERHqKP8myXzytmuj29LhUjn92lhdPzg5GHTLRVis3JWowohGta9H4a492zk1jEq5jRCNau8HqshsTtUDCdYxoRGs3WF12Y6IWSLiOEY1o7Qary25M1AIJ1zGiEa3dYHXZjYlaIOE6RjSitRusLrtTHe+ssxeCaERLLlobJooGJiIa0RKNhonaOTeNSbiOEY1o7QZr7oGGYCKiES3RaJionXPTmITrGNGI1m6w5h5oCCYiGtESjYaJ2jk3jUm4jhGNaO0Ga+6BhmAiohEt0Wjvmom24b244WKS8KFxbPvJXh0aJmqLhA+NY9tP9urQMFFbJHxoHNt+sleHhonaIuFD49j2k706tMgmAgDYACYCAD2YCAD0YCIA0IOJAEAPJgIAPTFN9MPXgw9eR4wXi+uPB4MXxeTD79QfpmXCQaV46a4GxmcJXrfrT18vsm1vrlxME736yP5LjpvnL/Krx2f5VYLHVh5Uopcuv3JZmtx1u3lu7gmXbG+uXEQT3Xx+Vtg6Ma58m+FF/uoz9SfZAcVBpXrp7B+R5K7b5eC37lKFS7Y/Vy6iia7D+UkRV6V/+GuChxYOKtVLd2n/iKR23f7znV2ucMn258pholZwVfrm818PHqd2dOGgEr101pLNE7xumOhu9uekbM2luzG//uQsv/njPrSDtyAcVKKXzt+2JHjdMNHd7M9J2ZbL8t/UJA9vr+rzVlyWXbmJHRsmupv96TzbksvFY9L9uOZb4g4q0Uu36KtO7Lpd02N9N3vzQHE7rHmfFw+Er3+T1Hspy4NK8tL5bqIUr5tXD0/x67l5vicvWW3HK/+G3Iv8cpDg4YWDSvLShZZQetfNmyhcsr25cvy1BwDowUQAoAcTAYAeTAQAejARAOjBRACgBxMBgB5MBAB6MFESjDPP8f23mA7XCiZZ1g8L5ifrCx23p0WM/lt8vOnB6B6fAN5lMFESjI8u3M/5iZ/chzdkMz/pLxbUmMh7bpq9hUA2mWhjEHhnwURJUJhoc9tjIxtMNFxM7zJRmGwHJoIfAxMlQTDRrDf0t1l2CzV/8lV2eO7nzB1l6ckfTrJsOOtlWWg/Tf0CK3Br++nRv06euclwuZVRKsiHKsttdbfi7MHLXnlztxKn2MXBV2aiTZ8gbA+AiZKg0iaauP9nvX64VbM5u/FalharLFokdrc1PzleaxOF/ZRbGdU2UVnuzTf1WhkW923L3YXNx85v02zlcy0/Qbm94pRBt8BESVD2Ex2H/p7p4bn/Zdn7Uy11AijFc3vqFyzVVJioXClsVazpTTTJhsu9hUXBVpOji8ruil141+TjULD+CcrtATBREowXz7WKLpnSNYUI1kvdj1I8xQoVNS36idyPxVa2oHx2NlzZW6GSYhVXvLo724VfwS3Z+AnK7QEwURKMFw/NplkQRmGiB6MNpW+YqFKwYqJsIZ/QJpr1jqt7K/Q0DGEWJip3535MFiba+AnC9gCYKAkqJiofU21oE5Wl27WJAsXd2XTZ7lrEdgJaNVF9m2jDJ7DtWzoLsMdgoiRYmmiR4CHj+xtLf6yfaE0WxZq+n2jsu8CrzRg3V/QTjVf6iYZhiX9+Vukif2PnPM6HHBMlwtJE/hlV0UUcHOAdslLqPRAezr/57Ky/kMViK1sQTOQfyZXlvqHjm0Lul7VnZ5VdLJ6drX+CcvtIZwk6DCZKgoqJ/Hs77p4oqKX6PlFZaj/Gq+8TLVsmY3ufKKxUbmWU7xNNbO2y3Db2T+fLF5BWdlfuYvk+0fonCNsDYCJoTtkdBfC2YCJoDiaCpmAiaA4mgqZgIgDQg4kAQA8mAgA9mAgA9GAiANCDiQBADyYCAD3/B0Zv1qrUpqSWAAAAAElFTkSuQmCC)
Income group (Humbly-paid vs Well-paid)
Median annual income in the DVS community is at $81,300.
Let’s define you as humbly-paid if your annual income falls below the median annual income and well-paid if above it. We try to define these terms in respect to the entire DV population.
This indicator was taken from PayAnnual variable.
Note: The terms humbly-paid and well-paid depicts the lower and upper halves of the distribution. These terms could be subjective to every DVS member depending on their cost of living in their respective countries and other such factors.
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)
Commitment (Independent vs Associate)
Independent
Independents are those who are free-spirited dataviz practicioners working most likely on their own terms (e.g. freelancers, hobbyists). Based from the survey data, these includes:
- Freelance/Consultant/Independent contractor
- Non-compensated data visualization hobbyist
- Student in a degree program at a college or university
- Passive income from data visualization related products
Associate
Associates are those who are mostly working in an organization (e.g. employees) with dataviz responsibilities. They are those who have/are:
- Position in an organization with some dataviz job responsibilities
- Academic/Teacher
How we classified who belongs to which?
We put weighted points on variables where a respondent has indicated that they identified themselves working on these type of roles.
Since the majority has indicated working in a position in an organization (DVRoles_Employee), Weight points were included on the hobbyists and freelance roles to balance out the heavy-leaning towards an employee persona. This also removes the ambiguity that either can be classified from the other.
Then, these points were added and compare the results whichever is higher. This is now our metric that would indicate whether an individual lean towards either an Independent persona or an Associate persona.
Independent
- +3 if has identified as hobbyist (DVRoles_Hobbyist)
- +2 if has identified as freelance/consultant (DVRoles_Freelance)
- +1 if has identified as student (DVRoles_Student)
- +1 if has identified who has passive income (DVRoles_PassiveIncome)
Associate
- +1 if has identified as employee (DVRoles_Employee)
- +1 if has identified as teacher (DVRoles_Academic)
Ambiguous
- Those whose weighted points on both Independent and Associate scores were equal.
Nearly 60% are Associates while around 37% are Independents
![](data:image/png;base64,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)
---
title: "Explainer: Which DVS persona are you?"
output: html_notebook
---

BY JOSEPH RICAFORT

If you haven't taken the quiz yet, know which DVS persona are you by taking the [quiz here](https://dvs-persona-quiz.thelostkite.com/).

The DVS community is a diverse community made up of dataviz practicioners from different demographics and experiences. Have you ever wondered what could be the different possible personas that are made up of this community and which of these personas do you identify yourself the closest to?

Let's look at the 4 different indicators and mix & match them to create different personas of what the DVS population are made out of.

![The 16 DVS personas](persona-avatars.svg)
[Cartoon Vectors by Vecteezy](https://www.vecteezy.com/free-vector/cartoon)

*Disclaimer: The naming or alias for every persona (e.g. The Analyst Intern, The Journalist, etc..) were inferred from the data as close as possible but might not truly represent and characterize the majority of those subgroups. It is also a means to easily identify the subgroups with this naming convention.*

Among 2,165 survey respondents, 1,288 have provided all of the **4 major indicators** and have answered at least one of the **4 additional indicators**.

**4 major indicators:**

* **Years of experience** (Junior vs Senior)
* **Role** (Analytical vs Creative)
* **Income group** (Humbly-paid vs Well-paid)
* **Commitment** (Independent vs Associate)

**4 additional indicators:**

* **Tools for DVS** - identifies the character for each persona in terms of tool preference
* **Organizations / Industry** - distribution of the personas to which they are more common
* **Frustrations** - do each persona have varying frustrations?
* **Issues** - socio-economic or dvs-specific issues for each persona

If you want to read first the full methodology on how the classifications were done or how the numbers were crunched, see the [Methodology and the 4 Major Indicators Comparison].

## The 16 DVS Personas

Mix and matching these 4 major indicators, 16 unique personas were created. This is somewhat inspired from Myers-Briggs Type Indicator (MBTI) but with a DVS twist!

**Percentage distribution of the 16 DVS personas**
```{r, echo=false}
ggplot(tribe_tally %>% 
  mutate(group = paste(experience, roleType, incomeGroup, commitment)) %>%
  mutate(group = fct_reorder(group, n)) %>%
  mutate(class = "class"), aes(reorder(group, nPerc), nPerc, fill = class)) + 
  geom_col(show.legend = F) +
  coord_flip() +
  labs(
    x = "Personas",
    y = "Percent of the Respondents"
  )
```

```{r, echo=false}
tribe_tally %>%
  select(-n) %>% rename(percent = nPerc) %>%
  mutate(percent = round(percent, 2))
```

25% of the DVS community is a Junior-Analytical-Humblypaid-Associate, the most common among all personas. It is then followed by a Senior-Analytical-Humblypaid-Associate.

Meanwhile a Junior-Creative-Wellpaid-Independent is the rarest persona which is just 0.5% of the DVS members. Imagine a dataviz practitioner who has less than 6 years experience with more than USD80,000 annual salary who is either a freelance or a part-time student. They seem to be like prodigy, free spirited, fast-learning entrepreneurs doing things their way and being paid really well.


## The Preference and Character of Each Persona (4 Additional indicators)

4 variables from the survey data were chosen to see what distinct character each of the persona inhibit. These are:

**The 4 additional indicators:**

* **Tools for DVS** - identifies the character for each persona (**ToolsForDV_**)
* **Organizations / Industry** - distribution of the personas to which they are more endemic (**OrgSector_**)
* **Frustrations** - do each persona have varying frustrations? (**TopFrustrationsDV_**)
* **Issues** - socio-economic or dvs-specific issues for each persona (**TopIssuesDV_**)
```{r, echo=false}
tribe_tools
tribe_frustrations
```

### Which tools each persona more likely use?

Let's look at how each persona has more prefered tools than the others.

```{r, fig.width=12, fig.height=10, echo=false}
ggplot(tribe_tools %>% 
         filter(tools_for_dv_vars %in% tools_top10), 
       aes(tools_for_dv_names, percN, fill = tools_for_dv_type)) +
  geom_bar(width = 1, stat = "identity", color = "white") + 
  # coord_flip() +
  coord_polar() + 
  facet_wrap(vars(tribe_desc)) +
  labs(
    x = "",
    y = "Percent of the Respondents",
    fill = "Tools for DV Category"
  )
```
#### Observations
* Among the junior-analyticals, the humblypaids' use excel as top tool while the wellpaids' use Tableau. Does this imply that Tableau is for the well-offs among the junior analyticals?
* Humblypaid creatives proudly shows their affinity for illustrator and it's just so obvious with the charts.
* Unanimously, any persona seems to use Excel as their top tool for DV.
* Junior creative independents tend to use R as either 2nd or 3rd tool.
* Creative-Wellpaid-Associates are D3.js power users! Who said creatives can't code?
* Looks so obvious that Illustrator is a creative's bestfriend, except for a creative-wellpaid-independent which a Junior would prefer Pen & paper and Senior uhm... Excel? strange.

```{r, fig.width = 10, fig.height = 10, echo=false}
# ggplot(tribe_tools %>% 
#          ungroup() %>%
#          group_by(tribe_desc) %>%
#          top_n(5, n) %>% ungroup(), aes(tools_for_dv_vars, percN, color = tribe_desc)) +
#   geom_point() +
#   coord_flip()
```


### How common each persona per industry?

Different personas were dispersed in different industries asymmetrically. This visual tool could be beneficial if you are eyeing for a specific persona you want to be in. A rare persona in that industry could either indicate whether it has a difficult prerequisites which makes these persona quite rare.
```{r, fig.width = 12, fig.height = 10, echo=false}
ggplot(tribe_orgsec, aes(org_sector_names, n, fill = org_sector_category)) +
  geom_col() +
  coord_flip() +
  facet_wrap(vars(tribe_desc)) +
  labs(
    x = "Industry",
    y = "Number of respondents",
    fill = "Industry Category"
  )
```
**Observations**

* Junior-Analytical-Humblypaid-Associate seems to visually occupy a lot of the bars followed by Senior-Analytical-Wellpaid-Associate. These two personas earlier were ranked as the first and second most common personas.
* Almost 50% of the Senior-Analytical-Humblypaid-Associates identified themselves coming from the Academe.
* If you want to be a creative but want to earn a lot of money, you should be in the IT Industry, said by a Creative-Wellpaid.
* Most of those in the Journalism industry are either Junior-Creative-Humblypaid


### What frustrates each persona the most?

Top 7 frustrations were picked among the 13 in the survey. These were encoded in the charts as:

* **Time**: Lack of time
* **Design**: Lack of design expertise
* **Data Access**: Accessing data
* **Data Literacy**: Low data literacy
* **Respect DV**: Not enough respect for dataviz
* **Tech tools limit**: Technical limitations of the tools
* **Non-viz activity**: Too much effort spent on non-viz activity

```{r, fig.width = 12, fig.height = 10, echo=false}
ggplot(tribe_frustrations %>%
         filter(top_frustrations_vars %in% frustrations_top7), 
       aes(top_frustrations_short, percN, fill = top_frustrations_type)) +
  geom_bar(width = 1, stat = "identity", color = "white") +
  coord_polar() +
  # coord_flip() +
  facet_wrap(vars(tribe_desc), ncol = 4) +
  labs(
    x = "",
    y = "Percent of the Respondents",
    fill = "Top Frustration Category"
  )
```
#### Observations
* Junior-analyticals looks unanimous in their frustrations, the lask of design expertise. For junior-analytical-wellpaid-hobbyist, it is their second frustration to lack of time.
* Junior-creatives' top frustration seems to be the lack of time. It is third for humblypaid-associates and wellpaid-hobbyists where their top frustrations is in the lack of technical skills.
* Junior-creative-wellpaid-independents, which is the rarest tribe, mention that a lack of tech skillw (1st) and lacking mentorship (2nd) are their main frustrations.
* Senior analyticals are unaninous with the lack of time as their top frustrations along with creatives humblypaid-independents and wellpaid-associates
* Senior-creative-humblypaid-associates notes that the lack of recpect and tech limitations are their top frustrations.


### What issues each persona feel should be addressed?

```{r, fig.width = 12, fig.height = 10, echo=false}
ggplot(tribe_issues %>%
         filter(top_issues_vars %in% top_issues_top10), 
       aes(top_issues_names, percN, fill = top_issues_type)) +
  geom_bar(position = "stack", stat = "identity") +
  coord_flip() +
  facet_wrap(vars(tribe_desc)) +
  labs(
    x = "Top Issues",
    y = "Percent of the Respondents",
    fill = "Top Issues"
  )
```
#### Observations

* Unanimously lack of literacy for majority regardless of persona. Second to it is the lack of awareness of impact of data visualization.
* Despite the slight differences in frustrations for every persona, all the personas surprisingly seem to unanimously agree on the same issues.

### Summary
* Well-paid analyticals seem be more prominent than well-paid creatives. Does this means analyticals are paid better than creatives?
* Seniority is a factor for a high paying job but it is not impossible to be a junior but earn very-well as a data-viz practitioner.
* There is a notable transition of tools usage popularity between generations. For example, between Excel to Tableau if we try to compare Juniors and Seniors.
* This visuals could be a helpful tool to give insights on your current state (salary, role, etc.) in the industry and on the state of which persona you ideally want to be in.

------

## Methodology and the 4 Major Indicators Comparison

Let's look at our first major indicator, an indicator identifying your veteranship in the community!

### Years of experience (Junior vs Senior)
Do you lean more towards being a newbie or do you lean more towards being an experienced one? We look at the years of experience as the seniority indicator of how long you've been practicing dataviz work.

This indicator uses the **YearsDVExperience** variable. **YearsWorkExperience** is secondary variable when no YearsDVExperience was provided.

The median years of experience is **6 years**. Let's define you as a **Junior** if your DV experience is less than 6 years, while being a **Senior** if it is more than 6 years.
```{r, echo=false}
ggplot(experience_sorted, aes(YearsDVExperience, nPerc, fill = experience)) + 
  geom_col() +
  coord_flip() +
  labs(
    x = "Years of Experience",
    y = "Percent of the Respondents",
    fill = "Experience"
  )
```

### Role (Analytical vs Creative)

Around 58% of the DVS members lean towards analytical roles while only 15% lean towards the creative roles.  A huge chunk of 27% chose to not indicate their roles.

This indicator uses **RoleAsEmployee** as the primary variable. When this variable is not provided by the respondent, the **RoleAsFreelance** is being accessed.

While roles usually require to be both creative or analytical in function and purpose, we attempt to classify roles that are more likely leaning towards either of them.

#### Analytical
Roles that lean more toward analytical or science related fields:

* **Analyst**
* **Developer**
* **Scientist**
* **Engineer**
* **Leadership (Manager, Director, VP, etc.)**

#### Creative
Roles that lean more towards creative or humanities related fields:

* **Designer**
* **Journalist**
* **Teacher**
* **Cartographer**

Note: Leadership and Cartographer roles tend to be ambiguously either creative or analytical, also as much as other roles. For the sake of removing the ambiguity, we tried to judge based on the reality and nature of the profession.

Stories that helped on how they were classified:

* [Creativity and the Role of the Leader](https://hbr.org/2008/10/creativity-and-the-role-of-the-leader)
* [A Day in the Life of an Ordinance Survey Cartographer](https://geoawesomeness.com/cartography-career-gis-skills/)

**58% are Analyticals while 15% are Creatives**

```{r, fig.width=10, fig.height=1.5, echo=false} 
ggplot(role_tally %>% 
         mutate(Class = "class"), 
       aes(Class, nPerc, fill = RoleType)) +
  geom_bar(position = "stack", stat = "identity") +
  coord_flip() + 
  labs(
    x = "",
    y = "Percent of the Respondents",
    fill = "Role Type"
  )
```

### Income group (Humbly-paid vs Well-paid)

Median annual income in the DVS community is at **$81,300**. 

Let's define you as **humbly-paid** if your annual income falls below the median annual income and **well-paid** if above it. We try to define these terms in respect to the entire DV population.

This indicator was taken from **PayAnnual** variable.

Note: The terms *humbly-paid* and *well-paid* depicts the lower and upper halves of the distribution. These terms could be subjective to every DVS member depending on their cost of living in their respective countries and other such factors.
```{r, echo=false}
ggplot(income_sorted, aes(PayAnnual, nPerc, fill = income_group)) +
  geom_col() +
  coord_flip() +
  labs(
    x = "Annual Pay",
    y = "Percent of the Respondents",
    fill = "Income Group"
  )
```

### Commitment (Independent vs Associate)

#### Independent

Independents are those who are free-spirited dataviz practicioners working most likely on their own terms (e.g. freelancers, hobbyists). Based from the survey data, these includes:

* **Freelance/Consultant/Independent contractor**
* **Non-compensated data visualization hobbyist**
* **Student in a degree program at a college or university**
* **Passive income from data visualization related products**

#### Associate
Associates are those who are mostly working in an organization (e.g. employees) with dataviz responsibilities. They are those who have/are:

* **Position in an organization with some dataviz job responsibilities**
* **Academic/Teacher**

#### How we classified who belongs to which?
We put weighted points on variables where a respondent has indicated that they identified themselves working on these type of roles.

Since the majority has indicated working in a position in an organization (**DVRoles_Employee**), Weight points were included on the hobbyists and freelance roles to balance out the heavy-leaning towards an employee persona. This also removes the ambiguity that either can be classified from the other.

Then, these points were added and compare the results whichever is higher. This is now our metric that would indicate whether an individual lean towards either an **Independent** persona or an **Associate** persona.

**Independent**

* **+3** if has identified as hobbyist (**DVRoles_Hobbyist**)
* **+2** if has identified as freelance/consultant (**DVRoles_Freelance**)
* **+1** if has identified as student (**DVRoles_Student**)
* **+1** if has identified who has passive income (**DVRoles_PassiveIncome**)

**Associate**

* **+1** if has identified as employee (**DVRoles_Employee**)
* **+1** if has identified as teacher (**DVRoles_Academic**)

**Ambiguous**

* Those whose weighted points on both Independent and Associate scores were equal.


**Nearly 60% are Associates while around 37% are Independents**
```{r, fig.width=10, fig.height=1.5, echo=false}
ggplot(commitment_tally %>%
         mutate(Class = "class"), 
       aes(Class, nPerc, fill = Commitment)) +
  geom_bar(position = "stack", stat = "identity") + 
  coord_flip() +
  labs(
    x = "",
    y = "Percent of the Respondents"
  )
```

```{css, echo = FALSE}
@import url("https://fonts.googleapis.com/css2?family=Crimson+Pro:ital,wght@0,300;0,500;0,600;1,500;1,700&family=Work+Sans:ital,wght@0,300;0,400;0,500;1,500&display=swap");

  h1,
  h2,
  h3, 
  h4 {
    font-family: "Crimson Pro", serif;
  }

  p,
  input,
  td,
  li {
    font-family: "Work Sans", sans-serif;
  }

```

