From 4c0ff33a5914d22ce7189d80ea721f570f96b7d8 Mon Sep 17 00:00:00 2001
From: David Kiania <kianiadee@gmail.com>
Date: Thu, 19 Mar 2026 13:31:51 +0300
Subject: [PATCH] Adding new files

---
 2_EDA/01_top_demanded_skills.sql |  1 +
 2_EDA/02_top_paying_jobs.sql     | 60 +++++++++++++++++++++-----------
 2_EDA/03_optimal_skills.sql      |  3 +-
 3 files changed, 43 insertions(+), 21 deletions(-)

diff --git a/2_EDA/01_top_demanded_skills.sql b/2_EDA/01_top_demanded_skills.sql
index 8e16508..a096970 100644
--- a/2_EDA/01_top_demanded_skills.sql
+++ b/2_EDA/01_top_demanded_skills.sql
@@ -126,3 +126,4 @@ Java remains relevant at #9 (7,267 mentions), primarily for JVM-based systems li
 
 
 
+
diff --git a/2_EDA/02_top_paying_jobs.sql b/2_EDA/02_top_paying_jobs.sql
index d3becb5..52b2f51 100644
--- a/2_EDA/02_top_paying_jobs.sql
+++ b/2_EDA/02_top_paying_jobs.sql
@@ -6,25 +6,45 @@ WHERE
 ;
 
 
-SELECT 
-    sd.skills,
-    ROUND(MEDIAN(jpf.salary_year_avg)) as median_salary,
-    COUNT(jpf.*) as demand_skills
-FROM job_postings_fact as jpf
-INNER JOIN skills_job_dim as sjd
-        ON jpf.job_id = sjd.job_id
-INNER JOIN skills_dim as sd
-    ON sjd.skill_id = sd.skill_id
-WHERE 
-    jpf.job_title_short LIKE 'Data Engineer'
-    AND
-    jpf.job_work_from_home = True
-
-GROUP BY sd.skills
-HAVING COUNT(jpf.*) > 100
-ORDER BY 
-    median_salary DESC
-LIMIT 25
-;
+  
 
 
+/*
+ 
+
+┌────────────┬───────────────┬───────────────┐
+│   skills   │ median_salary │ demand_skills │
+│  varchar   │    double     │     int64     │
+├────────────┼───────────────┼───────────────┤
+│ rust       │      210000.0 │           232 │
+│ terraform  │      184000.0 │          3248 │
+│ golang     │      184000.0 │           912 │
+│ spring     │      175500.0 │           364 │
+│ neo4j      │      170000.0 │           277 │
+│ gdpr       │      169616.0 │           582 │
+│ zoom       │      168438.0 │           127 │
+│ graphql    │      167500.0 │           445 │
+│ mongo      │      162250.0 │           265 │
+│ fastapi    │      157500.0 │           204 │
+│ django     │      155000.0 │           265 │
+│ bitbucket  │      155000.0 │           478 │
+│ crystal    │      154224.0 │           129 │
+│ c          │      151500.0 │           444 │
+│ atlassian  │      151500.0 │           249 │
+│ typescript │      151000.0 │           388 │
+│ kubernetes │      150500.0 │          4202 │
+│ ruby       │      150000.0 │           736 │
+│ airflow    │      150000.0 │          9996 │
+│ node       │      150000.0 │           179 │
+│ css        │      150000.0 │           262 │
+│ redis      │      149000.0 │           605 │
+│ vmware     │      148798.0 │           136 │
+│ ansible    │      148798.0 │           475 │
+│ jupyter    │      147500.0 │           400 │
+├────────────┴───────────────┴───────────────┤
+│ 25 rows                          3 columns │
+└────────────────────────────────────────────┘
+
+
+
+*/
diff --git a/2_EDA/03_optimal_skills.sql b/2_EDA/03_optimal_skills.sql
index 10e67c3..27fc1a8 100644
--- a/2_EDA/03_optimal_skills.sql
+++ b/2_EDA/03_optimal_skills.sql
@@ -147,7 +147,7 @@ APIs.
 Python and SQL are the volume anchors of the market, each appearing in over 1,100 
 remote postings — more than double any other skill — and both scoring 0.91–0.95. 
 Their median salaries ($135K and $130K respectively) are solid but not exceptional; 
-their dominance comes from ubiquity. For anyone entering the field, these two skills 
+their dominance comes from ubiquity. For anyone enteri_ng the field, these two skills 
 represent the lowest-risk, highest-return investment — nearly every role expects them.
 
 AWS leads the cloud platforms, outscoring Azure and GCP by a notable margin (0.91 vs. 
@@ -172,3 +172,4 @@ number of such roles is smaller. These are strong specialisation targets for eng
 already solid in Python/SQL/cloud.
 
 */
+™
\ No newline at end of file